Comic Asset Ref Generator

comic-asset-ref-generator — the Reference Producer (Phase 1 · S4)

The missing Layer-2 of comic-author: take the storyboard's consolidated ASSET_REQUESTS and produce, for every declared asset, the one canonical artifact that every downstream panel bake will condition on — so the film never grows two visual dialects and every panel of the same character/prop/motif reads as the same thing. This is precisely the producer of comic.json's identity_refs (e.g. duo_canonical_ref_v001.png + per-character locks like executor.hoodie #1D4684 / reviewer.beard true) that the proven comic created by hand. It is the upstream sibling of comic-blueprint-author (which authors per-panel content-SVGs) and feeds comic-asset-review-loop and the comic-director spiral.

Two asset classes, two production routes — this is the load-bearing fork:

storyboard.consolidated_asset_requests
   ├── identity / scene / prop  ──▶  RASTER ref:  agent mcp__codex__codex sidecar bake, CONDITIONED on a labeled white-bg
   │      (a face, a hoodie,           condition + real identity refs → 1:1 (or 16:9 scene) PNG
   │       an empty room)              → output_ref{file_path,data_url,sha256,width,height,mime}  (ALL 6)
   │
   └── deterministic motif      ──▶  SVG SOURCE:  ONE parametric builder in asset_lib.py
          (clock / chart / stamp        (ddl_chip / stamp / mug / curve_panel / tokyo_chip / starmap …)
           / mug / star-map)            the "ref" IS the single-source SVG — NOT an image bake
                                        → records generator_script, owner_script, file_sha256

   both routes → review_status:"pending"  (NEVER "locked" here)  → collision gate → asset-review-loop

The battle lesson, landed as the fork above: a clock, a chart, a verdict stamp, a star-map is deterministic content — you do NOT bake it as a fuzzy image and hope the digits land; you build it once from a python generator (asset_lib.py) so all 18 instances of the DDL timeline, all 7 verdict stamps, both the labeled and the wordless star-map render from the same coordinates and never diverge. An identity (a face, a costume) is not deterministic — that you bake once via the sidecar bake (Codex's native image tool), conditioned on a labeled white-bg reference and the real identity refs, never a free prompt, never a hand-paste.

Constants

• GENERATOR (raster route) = the agent's mcp__codex__codex sidecar bake: model: "gpt-5.5", config{ model_reasoning_effort: "xhigh", include_image_gen_tool: true }, sandbox: "workspace-write", plus approval-policy: "never" — an mcp-call argument, NOT a .bakereq.json field (the sidecar payload carries no such key). This exact shape is the empirical v3.5 lesson: without workspace-write + approval=never + include_image_gen_tool=true, Codex falls back to writing descriptive text (or an SVG renderer) instead of firing its native image tool. image_gen is incompatible with minimal effort; the shipped bake runs xhigh — the same gpt-5.5 + xhigh single compat default pinned in run_comic.get_bake_plan() (contract bakereq/v1, the digest the p0_proof cert binds to; a config-driven model/effort override is planned, not yet implemented). Honest scope: this Phase-1 raster ASSET bake is paid and runs PRE-P0 — the p0_proof cert gates the Phase-2/3 PANEL bakes only (no cert can exist before comic.json compiles, and assets must lock first); the gate on THIS spend is the cross-model comic-asset-review-loop + the single-source collision gate (P5), not P0. NB the Codex CLI reviewers elsewhere in the pipeline pin no model (they follow the local codex config — currently gpt-5.6-sol) at effort xhigh; only the bake payload pins gpt-5.5. The authoritative bake reply is the .bakestatus.json sidecar ({status, failure_kind, mcp_output, request_id} — P2r step 3) + the native PNG on disk; codex is never asked to emit a JSON-line self-report (that was a retired codex-exec-era contract).
• SVG SOURCE (deterministic route) = a pure-python parametric builder living in gen/asset_lib.py, emitted by a thin gen/gen_core_assets.py writer. The palette is pinned to comic.json ui_tokens — never re-typed per asset. This route calls no image model and spends zero credits.
• MAX_GEN_RETRIES = 2 (3 attempts total) — on ok:false OR a missing / zero-byte / invalid PNG (file <path> check). Append "[retry {n}: previous failure was: {reason}]" to the prompt each retry.
• VERSIONING = monotonic 3-digit _v{NNN} (duo_canonical_ref_v001.png, ddl_widget_template_v1.svg). Version only grows; the prior artifact stays on disk for the audit cascade; a supersedes self-edge links the new version to the old (record prev_sha256:<hex> + prev_version:N in tags).
• <refs> RESOLUTION + SUBDIR — <refs> = <project>/ + movie.project.json dirs.assets (default assets/); the canonical identity target resolves via movie.project.json identity_ref with fallback assets/duo_canonical_ref_v001.png (the same resolution run_comic.py derive_paths() uses). The characters | scenes | props | text_panels subdir split is the RECOMMENDED layout for a new multi-asset project; the worked example predates it and keeps a FLAT layout — duo ref at assets/duo_canonical_ref_v001.png, extra cast under assets/identity/ (researcher_chibi_canonical_ref_v001.png, trio_identity_sheet_v001.png). SVG sources under gen/ + assets/. Placeholder key: <project> = the project dir (e.g. examples/comic_m3_audit); <refs> as above; the pickup verifier lives at the literal repo-relative path skills/method-figure/scripts/pickup_image.py.
• NEVER LOCK — review_status is left "pending" (node status ≤ under_review). The executor that produces an asset is forbidden from approving it; locking belongs to the cross-model comic-asset-review-loop (a different model family). Setting review_status:"locked" here is a contract violation.
• ONE RUNNER PER PROJECT — each raster bake writes its own explicit out_path via the .bakereq.json/.bakestatus.json sidecar seam, so there is no global-dir cross-pollination between concurrent bakes. There is no /tmp/aris_imagegen.lock in agent mode — the agent wrapper itself serializes the mcp__codex__codex calls. The real race surface is two runners on the same project colliding on the per-asset .bakereq.json/.bakestatus.json sidecars + the shared out_path, so keep one runner per project. (The global generated-images dir + newest-after-marker pickup that could cross-pollinate is a hazard of the legacy exec path ONLY, retired for real bakes.)

Input contract (3 modes)

This skill never invents an asset id. If the outline/storyboard did not declare it, the operator adds it at the outline layer (comic-outline-creator) — not here.

Pipeline position (the Phase-1 asset DAG — the documented contract): OUTLINE_DRAFT_VALID (the outline gate validates narrative + continuity + safety and that every referenced asset_id is DECLARED with a complete, generatable request — it does NOT require locked assets) → human outline approval → provisional storyboard (structural pass; may reference draft assets) → consolidated_asset_requests → this skill (S4) + comic-asset-review-loop (S5) generate and LOCK the assets → OUTLINE_FINAL_LOCK (cheap re-check: the locked assets still match the approved outline) → storyboard FINAL asset-resolution validation → blueprints. The hard locked-asset barrier sits before blueprint authoring — not at the outline gate (the old single-stage contract deadlocked: an outline demanding locked assets that depend on a storyboard that depends on a locked outline).

1. single asset_id matching ^asset:[a-z0-9_-]+$ — produce one asset, await its verdict.
2. --batch-from-outline <outline_id> — read the human-approved outline's character_asset_ids[] + scene_asset_ids[] + prop_asset_ids[] ∪ the provisional storyboard's consolidated_asset_requests (structural pass — the storyboard is not asset-resolved yet at this point in the DAG), keep only review_status=="pending", process serially (raster bakes never overlap), fire the review loop once at the end.
3. --regenerate <asset_id> --reason "<text>" — force a re-render even if approved/rejected; prefix the generation prompt with "[regen reason: ...]", bump _v{NNN}, write a supersedes self-edge.

What it reads / what it writes (wiki nodes & edges)

Per schemas/node_schema.json (node/comic/3.0):

• READS storyboard_spec (payload.consolidated_asset_requests, payload.global_policies) and outline_spec (payload.character_asset_ids / scene_asset_ids / prop_asset_ids, payload.global_style_bible).
• WRITES / MUTATES the asset node (node_id: ^asset:[a-z0-9_-]+$, node_type:"asset"). Required payload fields (schema oneOf → asset): asset_kind, name, visual_description, identity_lock, ref_requirements, review_status, version. This skill additionally writes the produced ref onto the node (see the two contracts below) and leaves review_status:"pending", node status:"under_review".
• EDGES (schemas/edge_schema.json, src/dst/type): on a regenerate, emit a supersedes true self-edge with the bare node_id on BOTH endpoints (the node_id pattern ^(...|asset|...):[a-z0-9_-]+$ forbids @/{/}, and there is ONE asset:<slug> node per asset — no per-version node files — so any @v{N} endpoint would dangle and fail cli/validate_wiki.py lines 165-167 (endpoint resolution; the node_id-pattern check is lines 113-114)): {src: asset:<id>, dst: asset:<id>, type:"supersedes", evidence:"regen v{N}->v{N+1}: <reason>; prev_sha256:<hex>; prev_version:N"}. The cross-version lineage lives in the artifact filename _v{NNN} + prev_sha256/prev_version in tags (per output-versioning) — NOT in the edge endpoints. (Only if you truly need a versioned snapshot node, encode the version IN the slug — asset:<slug>_v002, which matches the pattern — AND actually write that second node file so both endpoints resolve.)
• FAILURE — on retry exhaustion write a failure_mode node so the spiral routes around it, and exit non-zero. No asset_ref-layer example node ships in the repo (every examples/comic_m3_audit/wiki/nodes/fail_*.json is a downstream SHOT-level node — e.g. fail_s09_a01.json carries layer:"panel_visual" + affected_shot_ids:["S09"] — do NOT mirror those for this upstream gate). Write this literal skeleton instead:

  { "node_id": "fail:<asset-slug>_image_gen_unavailable", "node_type": "failure_mode", "status": "active",
    "title": "asset_ref bake failed — <asset-slug>", "created_at": "<real UTC now>",
    "tags": ["image_gen_unavailable"],
    "payload": { "layer": "asset_ref", "affected_shot_ids": [], "active": true,
                 "repair_pattern": "<tag-derived hint>" } }
  

  (root status:"active" is the runtime canon validate_wiki.py enforces for failure_mode; payload has all 3 PAYLOAD_REQUIRED fields — layer, affected_shot_ids (empty: this is the UPSTREAM asset gate, no shots yet), active.) Do not trigger the review loop on an empty file.

The two fail-closed engine contracts (honor these or the director refuses to run)

These are the same fail-closed invariants the spiral enforces — produce assets so they cannot violate them:

1. Every panel needs a content_svg. Every deterministic motif a panel will use MUST be produced as a single-source SVG in asset_lib.py, so the panel's blueprint can name a real content_svg. If a recurring motif has no parametric source here, the downstream blueprint has nothing to bake-condition on and the director's render step fails closed. One parametric builder per recurring motif — no exceptions.
2. A baked figure-panel needs expected_literals. Any motif carrying gated text (a chart with 0.71→0.66, a stamp reading REJECT, a DDL chip reading T-16:05) must render those literals deterministically so the panel can declare ascii-tokenizable expected_literals for the blind token-diff gate. Conversely, a zero-text asset (the wordless constellation) must contain zero glyphs — assert it at build time (assert "<text" not in svg). Producing a fuzzy raster of a chart breaks this contract; that is exactly why charts/clocks/stamps take the SVG route.

Procedure (numbered — an agent runs this top to bottom)

P0 · Resolve the target

Read the asset node. Assert node_type=="asset". Abort if review_status=="locked" ("immutable per asset gate") or review_status=="approved" unless --regenerate. Classify the asset by asset_kind into its production route: character | scene | prop (with a non-deterministic appearance) → raster route (P1r); a deterministic motif (clock/chart/stamp/mug/symbol/star-map, anything whose pixels are computable) → SVG-source route (P1s). When in doubt: if the asset has gated literals or must be byte-identical across instances, it is deterministic → SVG route.

P1r · RASTER route — build the bake prompt

From payload: asset_kind, name, visual_description, identity_lock.must_preserve[] (traits that MUST appear — e.g. "blue hoodie #1D4684", "beard", "silver hair"), identity_lock.must_avoid[] (→ a image-prompt "do not add" block — e.g. "celebrity likeness", "corporate branding", "voxel 3-D blocks"), ref_requirements.{aspect_ratio,background,pose,isolated_reference,data_url_required}.

1. Run the STYLE-BIBLE / banned-vocab filter (see below) over visual_description; rewrite inline and record each substitution into the composed prompt.
2. Compose the prompt (template):

   Render a single reference image for asset {id} ({kind}: {name}).
   Subject: {filtered visual_description}
   Identity lock — preserve exactly: {must_preserve[]}
   Identity lock — do not add: {must_avoid[]}
   Reference requirements: {aspect_ratio} canvas; pure {background} fully isolated, no shadow/halo;
     pose = {pose}; isolated reference (no scene around the subject).
   No labels / watermarks / text / captions / contact-sheet grids.
   Output a SINGLE coherent reference image — not a collage, not a variation grid.
   Treat composability (this becomes a reusable identity ref) as the primary goal.
   

   Pose defaults by kind: character = "three-quarter front view, neutral expression, upper-body or full-body framing"; scene = "establishing wide of the empty location, no characters, neutral daytime lighting"; prop = "isolated centred view, slight three-quarter angle"; logo_free_symbol = "centred symbol on white, no scene". Provide the project's real identity refs as read-only condition images when the asset must match an existing cast member (never invent a face).

P2r · RASTER route — bake via the .bakereq/.bakestatus sidecar (CONDITION it, never hand-paste)

This is the same fail-closed bake seam run_comic.py / run_spiral.py use (no marker, no /tmp lock, no newest-pickup — each bake writes its OWN explicit OUTPUT_PATH). OUTPUT_PATH is a deterministic project-relative path (<refs>/{subdir}/{name}_v{NNN}.png — in the worked example's flat layout that is assets/{name}_v{NNN}.png / assets/identity/{name}_v{NNN}.png); canvas guidance in the prompt = 1024x1024 (1:1 default) or 1280x720 (scene 16:9), background opaque/fully white, ONE image.

ONE agent, BOTH sidecar roles. Unlike run_comic.py (a Python orchestrator serviced by an external agent wrapper), this skill ships no runner — the SAME agent running this SKILL plays the orchestrator (emit + verify) and the wrapper (call mcp__codex__codex, write the status). The one-liners below are transitional until the shared cli/service_bake_requests.py broker lands (planned — it does not exist yet); they import the canonical primitives from skills/method-figure/scripts/pickup_image.py (the single source of truth) — never hand-assemble a .bakereq.json any other way. <ABS_OUT> = the absolute OUTPUT_PATH; <ABS_PROJECT> = the absolute project dir; run from the repo root.

1. Emit the request (orchestrator role). First write the composed P1r prompt body to <ABS_OUT>.promptbody.txt, then emit. emit_bake_request mints the per-bake uuid4-hex request_id itself (stamps it into the payload and RETURNS it), pre-deletes any stale out_path + status so a prior bake can't be silently reused, and writes the sidecar atomically (.tmp → os.replace). Capture the printed id:

   python3 -c 'import sys, time; sys.path.insert(0, "skills/method-figure/scripts"); \
   from pickup_image import build_bake_prompt, emit_bake_request; \
   body = open("<ABS_OUT>.promptbody.txt").read(); \
   pt = build_bake_prompt(body, "<ABS_CONDITION_PNG>", "<ABS_IDENTITY_REF or empty>", "<ABS_OUT>"); \
   print(emit_bake_request("<ABS_OUT>", {"prompt_text": pt, "out_path": "<ABS_OUT>",
     "content_png": "<ABS_CONDITION_PNG>", "identity_ref": "<ABS_IDENTITY_REF or empty>",
     "model": "gpt-5.5",
     "config": {"model_reasoning_effort": "xhigh", "include_image_gen_tool": True},
     "sandbox": "workspace-write", "cwd": "<ABS_PROJECT>", "created_at": time.time(),
     "min_bytes": 500000, "aspect": 1.0}))'
   

   aspect = W/H as a float (1.0 for 1:1, 1.7778 for a 16:9 scene). build_bake_prompt prepends the canonical "use your native image generation tool" header and embeds the reference + output paths LITERALLY in prompt_text (ref #1 = the labeled white-bg condition, ref #2 = the identity ref — this skill's own doctrine: never a free prompt, so ref #1 always exists). Also note the epoch you passed as created_at.
2. Bake (wrapper role). Call mcp__codex__codex with prompt_text verbatim as the prompt and model / config / sandbox / cwd exactly as in the .bakereq.json, plus approval-policy: "never" (an mcp-call argument — NOT a bakereq field); codex writes the native PNG to OUTPUT_PATH (the mcp__codex__codex schema has no -i image param — the paths inside prompt_text are the only transport). The config MUST carry both model_reasoning_effort:"xhigh" and include_image_gen_tool:true, else codex is never handed the native image tool and no bake fires.
3. Write the status (wrapper role). Use the Write tool to create <ABS_OUT>.bakestatus.json = {status:"ok"|"fail", failure_kind:null|"throttle"|"other", mcp_output:"<the FULL raw mcp__codex__codex reply text, pasted verbatim>", request_id:"<the id step 1 printed, VERBATIM>"}. mcp_output is MANDATORY on BOTH ok and fail and must be the COMPLETE reply — never a summary or a truncation (the HARD-VETO scans it for import struct/zlib.compress/<svg/matplotlib/… traces of a hand-drawn fallback; an empty mcp_output leaves the veto inert and fail-closes). A missing/mismatched request_id is a stale/foreign bake and fail-closes.
4. Verify the EXPLICIT OUTPUT_PATH (orchestrator role). Optionally re-read the status through the canonical poller (returns immediately in this single-agent flow; kept for parity with the split-role seam):

   python3 -c 'import sys, json; sys.path.insert(0, "skills/method-figure/scripts"); \
   from pickup_image import await_bake_status; print(json.dumps(await_bake_status("<ABS_OUT>", 600)))'
   

   Then — only on status:"ok" — run the pickup verifier (literal repo-relative path):

   python3 skills/method-figure/scripts/pickup_image.py --out-existing --out <ABS_OUT> \
     --min-bytes 500000 --aspect <W/H> --created-at <epoch from step 1> \
     --request-id <the id step 1 printed> --transcript <ABS_OUT>.bakestatus.json
   

   which checks PNG sig + IHDR dims + size strictly > min_bytes + mtime >= created_at + a non-empty mcp_output, fail-closes on a request_id mismatch, and HARD-VETOES struct/zlib/PIL/<svg/ matplotlib markers in the transcript (a clean PNG sig NEVER overrides a fallback marker). There is no newest-pickup — pickup verifies the one explicit OUTPUT_PATH this bake wrote.

RETRY per MAX_GEN_RETRIES. After exhaustion: keep the best valid PNG if any, else write the failure_mode node + exit non-zero (do not call the review loop on an empty file). Never patch a failed bake by hand-pasting the missing trait — re-condition and re-bake.

Grid guard. A 2×2 / contact-sheet / variation-grid output is a failed attempt → retry (the "single coherent image, not a grid" line is the primary mitigation; a PIL aspect-vs-canvas check + an optional codex "is this a grid?" sanity reply is the backstop).

P3r · RASTER route — hash, encode, update (atomic), honor the 6-field contract

• SHA256 = shasum -a 256 <png>; (W,H) via PIL; DATA_URL = "data:image/png;base64,$(base64 -b 0 <png> || base64 -w 0 <png>)" (macOS -b / GNU -w, cross-platform). data_url is a v4 invariant — Layer-3 multi-ref composition reads it directly; a missing data_url silently breaks downstream.
• Mutate the node output_ref with ALL SIX fields {file_path, data_url, sha256, width, height, mime}. A partial write is a schema violation — reject it. Write .tmp then mv (atomic; the wiki must validate even if interrupted). Leave review_status:"pending", node status:"under_review". Append a log.md line.

P1s–P3s · SVG-SOURCE route — one parametric builder per motif

1. Add / reuse one builder in gen/asset_lib.py for the motif (ddl_chip, stamp, mug, curve_panel, tokyo_chip, mini_stamp_glyph, verdict_card, the star-map coord tables). Palette pinned to comic.json ui_tokens at the top of the file. Encode every cross-panel reuse contract into the docstring (e.g. S11 REJECT ↔ S16 ACCEPT instantiate the SAME verdict_card — mirror pair; the star-map JSON is the single coordinate truth for S16b labeled + S22 wordless).
2. Emit the canonical sheet via gen/gen_core_assets.py — a thin w(name, content) writer that imports only from asset_lib. Its docstring maps each output filename → the storyboard ASSET_REQUEST #. Enforce single-source inline: if a specialized generator (e.g. gen_b06) takes ownership of a richer variant, delete the generic duplicate here (don't keep two).
3. Coordinate-truth motifs (the star-map): write the JSON (wiki_starmap_nodes_v1.json) as the only truth source; both the labeled SVG (S16b) and the wordless SVG (S22) derive from it programmatically — 禁目测 / never re-layout by eye. The zero-text twin asserts assert "<text" not in svg at build time.
4. Record on the node: generator_script, owner_script, file_sha256; paths project-relative. Leave review_status:"pending".

P4 · Hand off to the review loop (NEVER self-acquit)

Single mode: trigger comic-asset-review-loop, await its verdict (approve → loop locks it / regenerate → recursive --regenerate callback, bounded by MAX_REVIEW_ROUNDS=3). Batch mode: fire the review loop once at the end. This skill never writes review_status:"locked" — locking is the cross-model loop's exclusive right.

P5 · Single-source collision gate (CI / pre-handoff)

Run gen/check_asset_collisions.py (static scan of every gen_*.py for w("…") writes). Every output filename must have exactly one generator owner. Two owners → exit 1 → fix (rename the specialized variant or delete the dead duplicate) before any handoff. This is a deliberately-not-"skip-if-exists" guard (that would hide the run-order bug).

EXACT gate — asset_generation_self_check (deterministic, ported from aris_movie)

This is the producer-side self-check the skill must pass before handing to the review loop. It is a set of boolean predicates with vetoes — not a numeric rubric (the numeric visual rubric lives in comic-asset-review-loop, the analog of the panel_gate). Verdict ∈ { generated | failed } — NO approve/locked is ever emitted here.

• output_exists — the produced file exists and is non-zero bytes. Veto on fail.
• raster_six_field_complete — for a raster ref, output_ref has ALL of {file_path, data_url, sha256, width, height, mime}. A partial write = schema violation. Veto.
• sha256_matches_file — the recorded sha256 equals shasum -a 256 of the file on disk. Veto.
• data_url_present — data_url is populated (v4 invariant for multi-ref composition). Veto on raster.
• svg_path_project_relative — for an SVG/JSON source, the recorded path is project-relative (never an absolute machine path). Veto.
• single_source — check_asset_collisions.py exits 0: each output filename has exactly one generator owner. Veto.
• zero_text_contract — a zero-text asset (the S22 constellation) contains no glyphs: assert "<text" not in svg. Veto.
• no_two_dialects — no motif has two visual dialects (e.g. two stamp families, two DDL renderers). The new asset must match the already-baked instances (e.g. the stamp geometry must match the baked S15 WARN_corrected). Veto.
• not_a_grid (raster) — PIL aspect-vs-canvas check (+ optional codex "is this a grid?" reply); a 2×2/contact-sheet is a failed attempt, not a pass → retry.
• banned_vocab_clear — refuse to call image_gen at all if any banned / off-bible term survives the filter.

Why no numeric approve here: the executor that produced the asset is not allowed to judge it (cross-model independence). This gate only proves the artifact is well-formed and single-source; whether it is good (identity fidelity, on-bible look) is decided by comic-asset-review-loop with a different model family.

STYLE-BIBLE / banned-vocab filter (mandatory before any raster bake)

The aris_movie source bans camera/lens vocab that conflicts with downstream synth and silently regresses fidelity (8K, 4K, photorealistic, cinematic, 50mm, dolly, push-in, bokeh, rim light, masterpiece, trending on artstation, close-up, wide shot, …). For the comic, this filter reads ART_BIBLE.md and additionally enforces the bible's own terms: the two-world warm-real / dark-cyber palette (warm = Edison/wood/window; digital-ARIS = dark_navy_void #0A0E27), the voxel ban (禁止 voxel 立体块 — pixel-flat only), and the per-character hex/feature locks (executor blue hoodie #1D4684 + brown hair + NO beard; reviewer green hoodie #30582D + near-black hair + beard). A surviving banned/off-bible term ⟹ refuse to call image_gen. Identity is BRING-YOUR-OWN: swap these locks for whatever the project's ART_BIBLE.md + identity_lock declare; the ARIS chibi duo is only the worked example.

Worked example (copy this exact pattern)

The proven comic is examples/comic_m3_audit/. Copy its shape:

• The single-source builder library — examples/comic_m3_audit/gen/asset_lib.py: one parameterized builder per recurring token — ddl_chip(x,y,t,state,skin,…) (the sole renderer for the whole 18-instance DDL timeline, 3 skins × {amber,red,green} + a SUBMITTED variant), the STAMPS table + stamp(...) (DUP / SURVIVES / REJECT / ACCEPT / WARN_corrected / SUBMITTED / AUDIT — one stamp dialect, geometry matching the baked S15), mug(...) (the ML RESEARCH cup, hot|fading|cold), curve_panel(...) (the wandb · exact_parse curve), tokyo_chip(...) (the {"city":"Tok|yo"} broken-JSON chip, multi-scale + a repaired=True twin), and STARMAP_NODES / STARMAP_EDGES / STARMAP_LOOP (the single coordinate truth)
  • the shared verdict_card(...) whose docstring states S11 REJECT and S16 ACCEPT instantiate the SAME card (mirror pair). Palette constants (RED/AMBER/GREEN/VOID/…) are pinned to comic.json ui_tokens at the top.
• The thin canonical-sheet emitter — examples/comic_m3_audit/gen/gen_core_assets.py: a w(name, content) writer that imports only from asset_lib; its docstring maps every output filename → storyboard ASSET_REQUEST #. It writes wiki_starmap_nodes_v1.json as the only truth source, then derives both wiki_starmap_v1.svg (S16b, labeled — only the 4 gated literals are big) and constellation_layout_v1.svg (S22, zero text) from the same coordinates, ending with the load-bearing guard assert "<text" not in svg, "constellation must contain ZERO text". It also shows the inline ownership transfer discipline: the generic wandb_exact_parse_060_071 curve was deleted here because gen_b06_blueprints.py owns the richer two-series version (one canonical source per token).
• The single-source collision gate — examples/comic_m3_audit/gen/check_asset_collisions.py: regex \bw\(\s*["']([^"']+\.(?:svg|json|png))["'] over every gen_*.py; each filename must have exactly one writer; exit 0 "✓ no asset collisions — all N generator outputs are single-source" (verified clean: 26 outputs, exit 0). Deliberately not a "skip if file exists" guard.

The raster side is grounded by the same project's hand-built duo_canonical_ref_v001.png + comic.json.identity_refs (per-character hex/beard/silhouette locks) — the artifact this skill automates producing. (P0 reminder from the real run: a missing researcher_chibi_canonical_ref_v001.png was a flagged P0 blocker — every cast member needs its canonical ref before the panels that use it can bake.)

Hard do / don't (earned lessons)

• DO condition the raster bake on a labeled white-bg reference + the real identity refs — and force the native tool with sandbox:workspace-write + approval:never + include_image_gen_tool:true, else Codex falls back to descriptive TEXT instead of firing image_gen.
• DO build every clock / chart / stamp / mug / star-map as ONE parametric SVG in asset_lib.py — never bake deterministic content as a fuzzy image and hope the digits land. The "ref" for a motif IS its single-source SVG.
• DO populate data_url and all 6 output_ref fields atomically (.tmp → mv); a partial write is illegal.
• DO version monotonically (_v{NNN}), keep the prior artifact on disk, and write a supersedes self-edge on every regenerate (prev_sha256 / prev_version in tags).
• DO run check_asset_collisions.py before any handoff — one canonical owner per token, no two dialects.
• DON'T hand-paste a missing trait onto a finished bake (reads as pasted/fake) — re-condition and re-bake.
• DON'T ever set review_status:"locked"/approved here — the executor never self-acquits; locking is the cross-model comic-asset-review-loop's exclusive right.
• DON'T invent an asset id — if the outline didn't declare it, the operator adds it at the outline layer.
• DON'T run two runners on the same project at once. Each bake writes its own explicit out_path via the .bakereq/.bakestatus sidecar, so there is no global-dir cross-pollination and no /tmp/aris_imagegen.lock in agent mode (the agent wrapper serializes the mcp__codex__codex calls) — but two runners on one project still collide on the per-asset sidecars + shared out_path, so keep one runner per project. (The cross-pollinating global generated-images dir is a hazard of the legacy exec path only.)
• DON'T trigger the review loop on an empty/failed file — write a failure_mode node + exit non-zero so the spiral routes around it.

Protocols (governance contracts this skill honors)

• output-versioning — refs are versioned _v{NNN} monotonically; the prior artifact stays on disk and a supersedes self-edge records the lineage (prev_sha256 / prev_version).
• reviewer-routing — the raster BAKE payload pins gpt-5.5 + xhigh (the single compat default in run_comic.get_bake_plan(), contract bakereq/v1; a config-driven override is planned, not yet implemented), while the pipeline's Codex CLI reviewers pin no model (they follow the local codex config — currently gpt-5.6-sol) at xhigh; the visual judging is delegated to comic-asset-review-loop on a different model family — never downgrade the tier.
• artifact-integrity — the model that produces an asset does NOT judge whether it's good; this skill emits only generated | failed (well-formed + single-source), and the cross-model review loop owns acquittal — the executor never self-acquits.