repository-review

repository-review is a skill for Claude Code, Codex from fmind/dotfiles. It costs 51 tokens per session (1,097 once invoked), scanned A, original, MIT.

A read-only review of an entire software repository, including its code, tests, architecture, documentation, security, automation, and release process.

In plain words
What is it for?
Use it for project health checks, readiness reviews, architecture audits, and ranked findings across the full delivery system.
Why use it?
It helps reveal cross-cutting problems and technical debt that a review of one code change may miss, while keeping the repository unchanged.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/fmind/dotfiles/repository-review
Any agent
npx skills add fmind/dotfiles --skill repository-review
Clone the repo
git clone --depth 1 https://github.com/fmind/dotfiles

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for repository-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dotfiles/repository-review.svg)](https://agentmods.dev/skills/fmind/dotfiles/repository-review)
Your own site
<a href="https://agentmods.dev/skills/fmind/dotfiles/repository-review"><img src="https://agentmods.dev/badge/skills/fmind/dotfiles/repository-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,097 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00051 $0.01097
Opus 5 $0.00026 $0.00549
Sonnet 5 $0.00010 $0.00219
Haiku 4.5 $0.00005 $0.00110

Measured 5d ago against content hash 70b21cce4dda, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

repository-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/repository-review/SKILL.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Review

Review the whole delivery system, preserve user work, and report only what the available evidence proves. A review-only request authorizes inspection and bounded validation, not fixes, issue creation, comments, deployment, publication, or runtime mutation.

Authority and proof ceiling

  1. Read the repository instructions and the stack, CI, security, or documentation skills needed by the requested dimensions. The full security-scan skill is not mandatory for a bounded review that excludes the security boundary.
  2. Confirm the requested scope and any explicitly authorized live systems. Treat credentials, clusters, cloud projects, deployments, and releases outside that scope as unavailable.
  3. Record the starting branch, HEAD, upstream, and git status --short. Distinguish staged, unstaged, and untracked paths; every pre-existing change is user-owned.
  4. Never stash, reset, clean, reformat, stage, commit, push, comment, open issues, or otherwise mutate user or external state during a review.

Review workflow

  1. Establish the candidate: Decide whether the evidence concerns committed HEAD, the dirty working candidate, or both. Name that boundary in the report.
  2. Preserve the worktree: Use read-only diffs first. Before any full gate, inspect the full gate's task definition and working-tree state. If it runs whole-tree write-formatters and unrelated or user changes are present, validate the exact candidate in an isolated temporary worktree only when temporary local file and Git-metadata changes are authorized, or run equivalent non-mutating checks; never reformat unrelated work. If the caller forbids even temporary state, skip that gate and report it as not checked. Verify the original index and worktree snapshot after cleanup.
  3. Map the system: Inspect manifests, entry points, package boundaries, task definitions, hooks, workflows, deployment/release automation, user and agent documentation, generated files, and relevant runtime configuration. Read the review matrix for coverage and evidence expectations.
  4. Route native checks: Use the repository's pinned mise run tasks and the applicable language stack skills. Use focused subtasks (mise run check, targeted check:*/test) only for iteration; use mise run all for the complete local candidate when safe and proportionate. Invoke the security-scan skill only when the request calls for a full security boundary beyond native checks.
  5. Inspect live evidence read-only: Compare the exact HEAD SHA with CI checks, deployments, tags, releases, or runtime observations only when those systems are authorized and reachable. A historical or different-head green result is stale evidence.
  6. Challenge each conclusion: Reproduce high-impact claims when safe, prefer repository or dependency source over assumptions, and separate an observed defect from a speculative risk.
  7. Report, do not repair: Return ranked findings and ordered actions in the response. Never create an unsolicited report file or backlog item; compose with a backlog skill only when the user explicitly requests that mutation.

Read the full file on GitHub · 50 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 50 lines · 51 tokens per session scan A 70b21cce4dda

Subscribe to this mod's changes

repository-review is a skill published in the GitHub repository fmind/dotfiles (4 stars, last pushed 6d ago), licensed MIT. It adds 51 tokens to every session and 1,097 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.