Detailed PR analysis with signals and checklist. Use analyze_pr for deep analysis, coach_pr for quick pass/fail.

Returns: tier (low_risk/medium_risk/high_risk), signals (positive/negative/neutral), checklist (P0/P1/P2 items), and recommended_action.

Use this before submitting a PR to a large open-source repo to check if your contribution strategy is sound. Combines repo profile data, anti-pattern matching, and success pattern analysis.

Args: title: PR title (e.g. "feat: add new search endpoint") repo: Target repo in org/name format (e.g. "encode/httpx") body: PR body/description text description: Extended description (optional) author: PR author username author_association: Author's association with repo (NONE/CONTRIBUTOR/COLLABORATOR/MEMBER/OWNER) labels: PR labels (e.g. ["bug", "documentation"]) star_count: Repository star count (0 = unknown) repo_merge_rate: Repository's external PR merge rate 0.0-1.0 (0 = unknown)

Returns: dict with keys: tier, signals, checklist, recommended_action, repo, title

Example: analyze_pr("fix: timeout in connection pool", "encode/httpx", "Fixes #123") → {"tier": "medium_risk", "signals": {...}, "checklist": [...], "recommended_action": "..."}

Agent PR Dojo: quick pass/fail gate. Use coach_pr for go/no-go decision, analyze_pr for detailed analysis.

Use this as a final gate before opening a PR. Returns pass=true if safe to submit, pass=false if there are blocking issues to fix first.

Combines repo profile analysis, anti-pattern matching, and maintainer policy checks into a single go/no-go decision.

Args: title: PR title repo: Target repo (org/name) body: PR body/description description: Extended description author: PR author username author_association: Author's association (NONE/CONTRIBUTOR/etc.) labels: PR labels star_count: Repo star count repo_merge_rate: External PR merge rate (0.0-1.0)

Returns: dict with pass (bool), tier, signals, checklist, recommended_action

Policy-aware PR screening.

Reads docs/policies/-.md and checks the PR against hard/soft rules.

返回: verdict: pass / needs_preflight / warn / reject policy_loaded: bool violations: list of {rule, severity, evidence} generic_checks: list (only when needs_preflight) recommended_action: str (always)

Example: triage_pr("docs: typo", "Ikalus1988/MisakaNet", "fix typo", "docs/faq.md | 3 ++-") → {verdict: "pass", policy_loaded: true, ...}

triage_pr("docs: add installation", "pallets/flask", ...)
→ {verdict: "needs_preflight", generic_checks: [...6 items...], ...}

Get repository profile with maintainer guidelines, AI policy, and merge rate.

Returns 17 agent_guidelines fields including ai_policy, maintainer_vibe, external_merge_rate, close_keywords, and more. Use this to understand a repo's contribution culture before submitting a PR.

Args: repo: Repository in org/name format (e.g. "encode/httpx")

Returns: dict with repo metadata and agent_guidelines, or error if not found

List all open PR case studies in the knowledge base.

Returns PRs with final_status=open, useful for tracking ongoing contributions and their current state.

Returns: list of {repo, pr_number, pr_url, folder} for each open PR

Get a specific PR case study with full details and rounds.

Returns the complete case study including frontmatter, body text, and round-by-round interaction history. Useful for learning from past PR experiences.

Args: repo: Repository in org/name format pr_number: PR number (integer)

Returns: dict with frontmatter, body, path, or error if not found

Search anti-patterns and success-patterns by keyword.

Use this to find relevant patterns before submitting a PR. Anti-patterns show what NOT to do, success-patterns show what works.

Args: query: Search keyword (e.g. "duplicate PR", "missing tests", "out of scope", "breaking change") pattern_type: Filter type — "all" (default), "anti-pattern", or "success-pattern" limit: Max results to return (default 10)

Returns: list of dicts with keys: key, title, symptom, fix_action, source_pr, type, file

Example: search_patterns("duplicate PR") → finds anti-patterns about duplicate submissions search_patterns("timeout", "anti-pattern") → finds timeout-related failure patterns

返回支持的 schema 版本和枚举值。