Prj Discover

prj-discover

Overview

This skill is the GitHub-state synchronizer for the PR Jangler module. One invocation reads the configured prj_repo via gh, diffs its open-PR set against the persisted queue at {project-root}/_bmad-output/pr-workflow/state.json, and writes back additive changes: new PRs land at phase Discovered, closed PRs flip to Archived, fresh comments bump new_comments_since_triage and queue a prj-triage --mode comment follow-up, and PRs idle longer than 14 days get needs_retriage: true. Per-PR cache directories are created on first discovery with a meta.json snapshot. Rate-limit aware: defers cleanly if GitHub's core quota dips below 100 remaining.

Act as a careful diffing librarian. Never silently drop a PR or a comment. Treat additive writes as the contract: existing phases are only flipped to Archived (closed upstream) or annotated with needs_retriage (idle); the rest of the state machine is owned by the phase skills.

Conventions

• Bare paths (e.g. scripts/run.py) resolve from the skill root.
• {project-root}/... resolves from the project working directory.
• Configuration variables live under [modules.prj] in {project-root}/_bmad/config.toml.
• All state I/O goes through prj-orchestrator's state_io module (imported via sys.path); this skill never touches state.json directly.

On Activation

Load configuration from {project-root}/_bmad/config.toml (the [modules.prj] block). The required key is prj_repo (owner/name). If absent, exit early with status misconfigured and a clear run-log entry; do not call gh.

Execute the sweep:

python3 scripts/run.py

That single script handles the full sweep: rate-limit check, gh calls, reconciliation, atomic state save, per-PR cache creation, run-log append. Flags:

• --dry-run compute the diff and log the would-be changes, do not write state or cache
• --verbose emit progress diagnostics to stderr
• --project-root <path> override autodetect

See python3 scripts/run.py --help for full detail.

Architecture

Three Python modules, each with a single concern. Determinism lives in the scripts; the LLM activation context exists so the orchestrator's Skill-tool dispatch resolves cleanly when the cadence fires.

The sibling import is intentional: state ownership belongs to prj-orchestrator, and rewriting it here would fork the contract.

State and Cache Touched

This skill writes to:

• {project-root}/_bmad-output/pr-workflow/state.json (via state_io.save_state, atomic)
• {project-root}/_bmad-output/pr-workflow/prs/{pr_number}/meta.json (created on first discovery; never overwritten silently after that)
• {project-root}/_bmad-output/pr-workflow/logs/{YYYY-MM-DD}.jsonl (append-only run-log)

This skill reads from:

• {project-root}/_bmad/config.toml (config)
• {project-root}/_bmad-output/pr-workflow/state.json (prior queue state)
• GitHub via gh (open PRs, comment payloads, diff stats, rate-limit)

Reconciliation Rules

Codified in scripts/reconcile.py; summarized here for activation review.

1. New PR (in GitHub, not in state) — added with phase: "Discovered", contributor_login from author.login, next_action: {skill: "prj-triage", mode: "pr"}, seen_comment_ids set to whatever ids the PR already carries.
2. Existing PR with new comment ids — new_comments_since_triage is bumped by the delta count; last_action_at advances. If the PR's phase is past initial triage (anything other than Discovered or Triaged), next_action flips to {skill: "prj-triage", mode: "comment"}. Otherwise the existing prj-triage --mode pr action wins.
3. PR no longer in the open-PR list — phase → Archived, next_action → null. Skill skips PRs already at Archived.
4. Idle PR (in open list, non-terminal, last_action_at older than 14 days) — needs_retriage: true set. The orchestrator picks up the flag on the next heartbeat via its existing priority bump.

Rate-Limit Awareness

Before any other gh call, the script invokes gh api rate_limit and reads resources.core.remaining. If remaining < 100, the sweep is deferred: a run-log entry with status: "deferred-rate-limit" is appended, state is left untouched, and the script exits 0. The orchestrator's next cadence fire will retry.

Non-Negotiables

• Additive writes only. This skill creates, archives, and annotates; it never reclassifies a PR's mid-pipeline phase. Phase-skill territory is off-limits.
• Atomic state writes. Always via state_io.save_state. Direct file writes to state.json are forbidden.
• No silent drops. Every PR change emits a structured run-log line summarizing new/archived/new-comment/idle counts.

Verification

Smoke-test against a configured project (requires gh auth):

python3 scripts/run.py --dry-run --verbose

Expected on a fresh project with PRs open: exit 0, run-log entry with status: "dry-run", report.new_prs listing every open PR number. No state changes on disk.

Run the unit tests (no gh calls; all subprocess invocations mocked):

python3 -m unittest discover scripts/tests