genesis-evals: maintainer-side eval runner
Run the genesis self-eval suite. Steers the parent LLM session to orchestrate cold sub-agent spawns, capture responses, score deterministically, and report convergence.
Why this lives outside .apm/
Genesis ships to USERS via npx / apm install. Eval scenarios LOOK
LIKE real user requests (that is the point). Colocating them under
skills/genesis/evals/ would risk DISPATCH CONTAMINATION (an
over-eager harness loader pulling scenario prompts into the active
context) and PAYLOAD BLOAT for users who never run evals.
We also keep this OUTSIDE .apm/ because APM treats .apm/ as the
publishable source root: its local-content scanner picks up anything
under .apm/skills/ regardless of dev-marker, so apm pack --format plugin would leak this maintainer-only skill into the
shipped artifact. Living under dev/skills/ keeps it scanner-invisible
while still letting apm install --dev deploy it via the local-path
devDependency in the root apm.yml.
This is the inverse of PHANTOM DEPENDENCY (referenced-but-not-bundled):
BUNDLE LEAKAGE (bundled-but-not-consumed-at-runtime). See
skills/genesis/assets/composition-substrate.md "Anti-patterns
flagged at this step".
When to activate
- Validating a genesis PR before merge
- Any change to a file under
skills/genesis/(catalogue or SKILL.md) - Operator says "run evals", "regenerate eval matrix", "score on Opus"
- Adding a new scenario (run validate first)
Hard rules
- The
model:field in every scenario YAML is REQUIRED. The runner REFUSES to spawn if missing. No silent default. The model is the single biggest variable in eval results. - Pre-spawn: ALWAYS call
spawn_record.pyto write the immutable<id>__<half>.spawn.jsonBEFORE invoking the harness's task tool. This is the source of truth for "what we asked for". - Cold spawn: each (scenario, half) is a SEPARATE task-tool call with fresh context. Never reuse a session across scenarios.
- Determinism: scoring is python (
score_run.py), not LLM-judged. Pass gates are substring matches against the schema. - Scenarios are FROZEN once landed. Removing a scenario requires
setting
retired_in: <version>(never deletion). - After 3 iteration loops without convergence, escalate via B10 HUMAN CHECKPOINT. Do NOT loop indefinitely.
Process
1 validate scenarios <-- python validate_scenarios.py
v
2 mint run-id <-- yyyymmddTHHMMSSZ
v
3 fan-out spawns <-- for each scenario:
v a) spawn_record.py for each half
v b) task-tool cold spawn (parallel)
v c) write child reply to <id>__<half>.response.txt
v
4 score <-- python score_run.py
v
5 read summary.md
v
6 converged? --YES--> done; report run-id + summary path
|
NO
v
7 loop count < 3?
|
+-- YES: identify failing scenario IDs; goto step 3 (failures only)
|
+-- NO: B10 HUMAN CHECKPOINT
(declare ITERATION REQUIRED -- design implicated)
Step 1 -- validate
python dev/skills/genesis-evals/scripts/validate_scenarios.py \
--scenarios-dir dev/skills/genesis-evals/scenarios \
--schema dev/skills/genesis-evals/schema/scenario.schema.json
If exit non-zero, STOP. Fix the schema/yaml violations before any spawn. No partial runs.
Step 2 -- mint run-id
RUN_ID=$(date -u +%Y%m%dT%H%M%SZ)
RUNS_DIR=dev/skills/genesis-evals/runs
mkdir -p "$RUNS_DIR/$RUN_ID"
Step 3 -- fan-out spawns
For EACH scenario YAML in scenarios/:
Determine halves
category: P-> two halves:withandwithoutcategory: N-> one half:single(loaded_skills as declared)category: R-> one half:single
Per (scenario, half), in this order
Record the spawn intent (deterministic, pre-spawn):
python dev/skills/genesis-evals/scripts/spawn_record.py \ --scenario dev/skills/genesis-evals/scenarios/<id>.yml \ --half <with|without|single> \ --run-id "$RUN_ID" \ --runs-dir "$RUNS_DIR"This writes
<runs-dir>/<run-id>/<id>__<half>.spawn.json. If the script exits non-zero, the scenario is REJECTED (no model field, or retired). Skip this scenario; do NOT spawn.Cold-spawn via the harness task tool, with:
- agent_type:
general-purpose(or harness equivalent that supports a fresh context window) - model: read from the spawn.json
requested_modelfield -- PASS THIS EXPLICITLY to the task-tool call. Do NOT rely on the parent's default. - prompt: read from spawn.json
promptfield, VERBATIM. No prefix, no suffix, no parent-context bleed. - For
withhalf (P category, includesgenesisin loaded_skills_requested): prepend a single line instruction telling the child it has thegenesisskill available and should consult it. Forwithouthalf: no genesis instruction. - For
NandRsinglehalf: same treatment aswithifgenesisis in loaded_skills_requested.
- agent_type:
Capture the child's reply to:
<runs-dir>/<run-id>/<id>__<half>.response.txtThe full text, verbatim. No truncation. No paraphrase.
Parallelism
Genesis itself names A1 PANEL with B1 fan-out as the right pattern for this shape. Spawn as many independent (scenario, half) jobs in parallel as the harness permits. Do NOT serialize unless forced.
Step 4 -- score
python dev/skills/genesis-evals/scripts/score_run.py \
--run-id "$RUN_ID" \
--runs-dir "$RUNS_DIR" \
--scenarios-dir dev/skills/genesis-evals/scenarios
Writes <runs-dir>/<run-id>/summary.md. Exit code: 0 if converged,
1 if not, 2 on infrastructure error.
Step 5 -- read summary
view the summary.md. Note per-category ratios.
Step 6 -- decide convergence
| Category | Gate | Failure shape |
|---|---|---|
| P | ratio >= 0.80 | with-skill missing the catalogue label OR without-skill leaking it |
| N | ratio >= 0.80 | over-eager activation: genesis vocabulary leaking into off-topic responses |
| R | ratio == 1.00 | regression of a previously-fixed behaviour (PR #4 substrate gates) |
If ALL three pass: STOP. Report run-id, summary.md path, ratios.
Step 7 -- iterate (cap = 3)
If NOT converged AND loop count < 3:
- Identify failing scenario IDs from summary.md
- Re-spawn ONLY those failures (same scenario YAMLs, new run-id)
- Goto step 4
If loop count == 3 and still not converged: B10 HUMAN CHECKPOINT. Report which scenarios failed twice (genuine signal, not noise) and which architectural surface they implicate. Do NOT auto-edit genesis catalogue files.
Updating a PR description with the matrix
After convergence, paste the contents of summary.md into the PR body under a "Verification" section. Replace any prior ad-hoc matrix.
Adding a new scenario
- Pick the next ord for the category:
<p|n|r>-<NNN>-<slug>.yml - Set
frozen_sinceto the current genesis version (readapm.yml) - Run
validate_scenarios.py - Land in the same PR as the genesis change it gates
Gate-authoring tips (lessons from RUN_ID=20260426T104629Z)
- Forbidden lists must target ACTIVATION vocabulary, not SCOPE
vocabulary. A polite-decline response correctly names the
skill's scope ("genesis is for designing primitive modules
-- not relevant here"). Words like
primitive moduleoragentic primitiveappear in BOTH activation AND decline, so they fail to discriminate. Forbid only words that ONLY appear on activation:Step 1,composition substrate,design artifact, codified pattern labels (R1 SPLIT,A10 GOVERNED,A1 PANEL). - Required-substring lists must be one-of, not all-of, when
testing for "the catalogue produced ANY structured output".
Demanding both
SoCANDR1 SPLITis over-specification. Pick the single most discriminating label and require only that. The scorer issubstring_all(intersection); express alternatives by minimising the set, not by enumerating synonyms. - The "without-genesis" half is NOT a clean baseline. The cwd contains genesis source files; sub-agents may read and cite them. This is acceptable for gate evaluation (gates are substring checks on SPECIFIC vocabulary), but do not treat without-half responses as evidence of "what a fresh LLM would do without the skill".
- File-naming MUST match scenario id exactly. Saved
responses are read as
<scenario-id>__<half>.response.txt. Trailing slugs in filenames break the scorer silently.
Retiring a scenario
Set retired_in: <version>. The runner will skip it. NEVER delete
the file (provenance / audit trail).
Setup (one-time)
pip install -r dev/skills/genesis-evals/requirements.txt
(deps: pyyaml, jsonschema. Maintainer-side only. Users never see this requirements.txt.)