full-review

full-review is a skill for Claude Code, Codex from fmind/dot. It costs 21 tokens per session (1,443 once invoked), scanned A, original, MIT.

A read-only health check for the fmind/dot repository, a configuration repository containing command-line tools and computer setup files. It checks the build, command-line behavior, tool versions, and documentation consistency.

In plain words
What is it for?
Use it to run the repository’s checks, smoke-test the dot command, inspect tool currency, and compare AGENTS.md and README.md with the current code.
Why use it?
It helps distinguish actual repository problems from local issues such as missing authentication or optional secrets without changing the repository or installed setup.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions AGENTS.md.

Good fit Use it to run the repository’s checks, smoke-test the dot command, inspect tool currency, and compare AGENTS.md and README.md with the current code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/fmind/dot/full-review
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.

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

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 full-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/full-review/github.svg)](https://agentmods.dev/skills/fmind/dot/full-review)
Your own site
<a href="https://agentmods.dev/skills/fmind/dot/full-review"><img src="https://agentmods.dev/badge/skills/fmind/dot/full-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for full-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/fmind/dot/full-review"><img src="https://agentmods.dev/badge/skills/fmind/dot/full-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,443 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00021 $0.01443
Opus 5.5 $0.00008 $0.00577
Sonnet 5.5 $0.00004 $0.00289
Haiku 4.5 $0.00002 $0.00144

Measured 10d ago against content hash 366396bc2db4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

full-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 10d 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/full-review/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Full Review

Answer "perform a full review", "final check before release", or "make sure everything works and is up to date" with one deep pass that ends in a fixed, proven tree. The default outcome is applied verified fixes, not a findings list. repository-review owns read-only audits and severity. Unlike the recurring repository-maintenance upkeep pass, this skill inventories and reads every tracked area across all dimensions below, then fixes and proves the result with the full gate. When a repository ships its own verify skill (such as dot-verify), follow it and use this skill only for what it omits.

Arguments

Parse the request into one line and state it before starting: scope (paths, other repositories), exclusions ("skip data/"), depth (default deep: every tracked file in scope), mode (default fix; report stays read-only, skips the Fix and Prove steps, and lists findings under Fixed renamed Findings, ranked by repository-review severity), and follow-ups (release, commit, propagation; none unless requested). Ask only when an ambiguity changes scope, cost, or reversibility.

Workflow

  1. Baseline: record git status --short, staged and unstaged diffs, the last tag, and git fetch state. Existing uncommitted work is part of the candidate unless the user says otherwise; never discard or restage it. Run the existing gates once to separate preexisting failures from regressions.
  2. Load decisions: read AGENTS.md, README.md, skills, changelog, and stored decisions (agent memory, ## Decisions notes, ADRs). Do not re-raise kept or declined choices; mention one only when a new change reopens it.
  3. Inventory coverage: list tracked files by area with git ls-files, minus exclusions and generated or vendored files. Track each area to reviewed; "don't scratch the surface" means no unread area. For large trees, fan out read-only reviews by area to subagents or one session per area when the host supports it, then verify every returned finding yourself before acting.
  4. Review each dimension in the review matrix, plus what reviews here repeatedly request:
    • Works: every task and CLI entry point runs clean with no warnings (smoke); production or deployed endpoints are probed read-only when they exist.
    • Current: tools, dependencies, actions, and runtimes against their latest releases (upgrade-tools); report drift and upgrade when the request says so.
    • Simple: dead code, legacy paths, orphan files, stale config, unearned abstractions, and verbose docs (trim); prefer deletion and consolidation, never a heavier mechanism.
    • Consistent: names, descriptions, versions, and metadata match across code, pyproject.toml, docs, GitHub (github-repository), and the website; ignore files fit the stack (update-ignores).
    • Secure and private: secrets, permissions, dependencies, and agent tools (code-security); private repositories stay private and public ones disclose nothing sensitive.
    • Documented: README.md, AGENTS.md, skills, and *.md match behavior, stay concise, and convince their audience (repository-docs).
    • Fast: slow tasks, tests, CI, or pages with a measured cause (benchmark).
  5. Fix: apply each verified finding with the smallest change; add a regression test for behavior fixes. Prefer one coherent change per finding so selective reverts stay easy. Hold back changes that are irreversible, outward-facing, costly, or that change a deliberate design, and list them as decisions.
  6. Prove: rerun only the checks a fix invalidated, then the full gate (mise run all or the repository's equivalent) on the final tree. Confirm the tested snapshot equals the candidate.
  7. Report: per the template below. Keep it short; evidence goes in file:line references, not narration.
  8. Follow up on request: release or commit through git-delivery or the repository's release skill; propagate to dependent repositories by repeating this pass there; when the user says "apply all" after a report-mode run, resume at the Fix step.

Read the full file on GitHub · 62 lines

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. 10d ago Changed 366396bc2db4
  2. 12d ago Changed 09354349e277
  3. 14d ago Changed c8fdc7dd9103
  4. 15d ago Changed · +9 lines · -16 tokens per session 17c79bb1cc4f
  5. 1mo ago First seen · 53 lines · 37 tokens per session scan A bbd7ea1d9913

Subscribe to this mod's changes

full-review is a skill published in the GitHub repository fmind/dot (12 stars, last pushed today), licensed MIT. It adds 21 tokens to every session and 1,443 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.

Related

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