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navoditknavoditk/pm-ai-skills-framework/AGENTS.md

pm-ai-skills-framework

AGENTS.md0 starsChanged 44 days agoMITView on GitHub

Instructions for any coding agent working in this repository: Claude Code, GitHub Copilot, and Codex all read this file. CLAUDE.md imports it and .github/copilot-instructions.md points to it; keep the rules here. A governance layer over NVIDIA SkillEvaluator, exercised on twelve portfolio-management skills. Start with README.md; docs/README.md indexes every document by goal, and docs/10_DEVELOPMENT_ROADMAP_AND_PROGRESS.md is the current status. - Public and synthetic data only. Skills read the local fixtures in synthetic_data_pipeline/. No real portfolio data, internal system names, or credentials in…

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AGENTS.md

AGENTS.md

Instructions for any coding agent working in this repository: Claude Code, GitHub Copilot, and Codex all read this file. CLAUDE.md imports it and .github/copilot-instructions.md points to it; keep the rules here.

What this repository is

A governance layer over NVIDIA SkillEvaluator, exercised on twelve portfolio-management skills. Start with README.md; docs/README.md indexes every document by goal, and docs/10_DEVELOPMENT_ROADMAP_AND_PROGRESS.md is the current status.

Commands

uv sync --extra dev                              # install, including dev tools
uv run pytest -q                                 # all tests; no network
uv run ruff check . && uv run ruff format --check . --exclude "*.md"
uv run pmai-skills validate skills               # offline framework checks
uv run python scripts/build_curriculum_pages.py  # course site, into public/

Rules

  • Public and synthetic data only. Skills read the local fixtures in synthetic_data_pipeline/. No real portfolio data, internal system names, or credentials in code, docs, commits, or evaluation cases.
  • No network in tests. Nothing under tests/ may call a model, an embedding provider, or any other service.
  • Live evaluation costs money; never start it unasked. Tier 2 needs an embedding key, and a full Tier 3 run cost $15-45 per skill. Run Tier 1 and the offline checks freely; run pmai-skills similarity, pmai-skills evaluate, or skillevaluator ... --agent-eval only when a person has asked for that specific run and its cost.
  • Do not commit raw reports. reports/ is git-ignored. Tracked evidence is each skill's BENCHMARK.md and BENCHMARK.json; do not link docs to files under reports/ (tests/test_docs_links.py fails if you do).
  • Only framework/adapters/ reads NVIDIA's raw report format. Everything downstream uses the normalized schema, so an evaluator upgrade stays contained.
  • The evaluator is pinned to one commit, installed by .github/workflows/skills-quality.yml and docs/MILESTONE_1_SETUP.md, and changed only under docs/13_NVIDIA_EVALUATOR_UPGRADE_POLICY.md.
  • Edit the canonical skill, not its loaders. Skills live in skills/<name>/. .claude/skills/ and .agents/skills/ hold identical thin loaders that point back to it; tests/test_skill_loaders.py keeps them in step.
  • Every skill needs an owner. CI fails on the domain-owner-required placeholder.
  • The course site is generated. Edit the skill's references/, docs 15 and 16, or site/; never edit public/. Quiz questions are in site/quizzes.yaml, and every answer must be stated in its module.
  • ruff format rewrites Python inside Markdown fences, which is why CI excludes *.md. Do not reformat docs as a side effect of a code change.

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