| name | agent-readiness |
| description | Score how ready the current repository is for AI-assisted development against the Agent-Readiness Scorecard. Use when the user asks "how agent-ready is this repo", "score this repo for agents", "agent readiness", or wants a tiered readiness report. Scores YOUR project repo's readiness — not the dev-team plugin's own review agents and routing (for that, use /harness-audit). |
| argument-hint | [repo-path] [--json <file>] [--markdown <file>] |
| user-invocable | true |
| allowed-tools | Bash(python3 *), Read, Glob |
Agent-Readiness Scanner (MVP)
Role: worker. Scores a single local repository against the Agent-Readiness
Scorecard and reports a tier (Agent-Ready / Assisted / Limited / Hostile) with
per-criterion evidence.
Not /harness-audit. This scores the subject repository (your
project's build, code quality, docs, and version-control hygiene) from a
static checkout. /harness-audit audits the dev-team plugin's own harness
(review-agent effectiveness, model tiers, orchestration) from accumulated
runtime metrics. Different subject, different input, different output.
Scope (MVP — issue #117)
This MVP uses file-presence/heuristic analyzers only — no CI-platform APIs.
It scores the criteria that can be judged from a checkout:
- Build & Env: B2 reproducible env, B3 dependency lock files
- Code Quality: C1 formatting, C2 linting, C4 module size (p90 line count)
- Documentation: D1 README, D2 AI instructions, D3 architecture docs
- Version Control: V2 pre-commit hooks, V3 commit conventions, V4 dep scanning
Criteria that need CI-platform data (coverage, flaky rate, durations, branch
policy — T1–T5, B1, B4, C5, S1–S4, V1) and the org-scale Azure DevOps / Jenkins
discovery from the original plan are deferred to follow-up phases.
Categories with no MVP criterion (test infrastructure, type safety) are reported
as deferred and excluded from the renormalized overall score.
Run
python3 "${CLAUDE_PLUGIN_ROOT}/skills/agent-readiness/scanner.py" [REPO_PATH] \
[--json out.json] [--markdown out.md]
REPO_PATH defaults to the current directory.
- With no
--json/--markdown, prints the JSON result and a Markdown summary.
- Weights, tier thresholds, and per-criterion thresholds live in
scorecard.yaml next to the scanner — edit there to tune; no code change.
Steps
- Run the scanner against the target repo (default: current repo).
- Report the tier and overall score, then the per-criterion evidence table.
- Surface
manual_review_flags (C3/S3/D4 are heuristic-weak and need human
judgment) and the list of deferred categories, so the score is not
mistaken for a full assessment.
- If asked, suggest the highest-leverage improvements (lowest-scoring MVP
criteria first).
Do not invent scores — report exactly what the scanner emits, including its
evidence strings.