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.
npx skills add GoogilyBoogily/googilyboogily-claude-power-tools --skill doc-reviewgit clone --depth 1 https://github.com/GoogilyBoogily/googilyboogily-claude-power-toolsWrote 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.
[](https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/doc-review)<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/doc-review"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/doc-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.
<a href="https://agentmods.dev/skills/googilyboogily/googilyboogily-claude-power-tools/doc-review"><img src="https://agentmods.dev/badge/skills/googilyboogily/googilyboogily-claude-power-tools/doc-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00049 | $0.04415 |
| Opus 5 | $0.00024 | $0.02207 |
| Sonnet 5 | $0.00010 | $0.00883 |
| Haiku 4.5 | $0.00005 | $0.00441 |
Grade A, and why
doc-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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PR-Aware Architecture Document Review
Pull open GitHub PR comments on architecture documents (ADR, HLD, LLD), identify grey areas across reviewer feedback, capture review decisions as R-XX entries, and walk through each comment interactively. Produces a REVIEW.md state file per document with resume capability.
This skill is local-only — it reads from GitHub via gh CLI and edits document files locally. It NEVER posts anything to GitHub. The user handles all GitHub replies manually by copy-pasting drafted replies.
When to Use
Use when an architecture document is in a PR with reviewer comments that need to be addressed. Works with any ADR, HLD, or LLD document that has open review feedback. Also useful for re-reviewing after pushing changes — --resume detects new comments since last session.
Input
$ARGUMENTS — PR number or URL, and optionally --resume to continue a previous review session.
Parse Arguments
Extract from $ARGUMENTS:
- PR identifier: Number (e.g.,
42) or URL (e.g.,https://github.com/org/repo/pull/42) - Resume flag:
--resume(optional, triggers Phase 7 at startup)
If --resume is present, jump to Phase 7 before anything else.
Process
Human-in-the-loop: Never proceed past a decision point without user approval.
Phase 7: Resume Handler (runs first if --resume)
This phase fires ONLY when --resume is present in $ARGUMENTS. It restores state from a previous review session.
-
Find existing REVIEW.md files:
Glob for docs/context/review/*-PR-*-REVIEW.md -
If none found: Inform user "No review state found" and fall through to Phase 1. Strip
--resumefrom arguments. -
If multiple found: Distinguish between multiple PRs and same-PR multi-document reviews:
- Same PR, multiple documents: Present all docs together with per-doc completion status. Let the user pick which document to resume. After completing the resumed document, prompt: "Documents B and C from this PR still need review. Continue with the next one?"
- Different PRs: Present the list via AskUserQuestion — show PR number, document name, status, and last activity for each. Ask which to resume.
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.
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.
- 12d ago First seen · 409 lines · 49 tokens per session scan A 1f083acd6cf1
doc-review is a skill published in the GitHub repository GoogilyBoogily/googilyboogily-claude-power-tools (2 stars, last pushed 4mo ago), licensed MIT. It adds 49 tokens to every session and 4,415 once invoked, about $0.0002 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.
Other skills, from other repositories
autoreview
Pre-commit/ship code review: Codex default; optional Claude or Pi.
omh-code-review
This is a Hermes-native code-review workflow skill.
revdiff-plan
Review the last Codex assistant message (plan, analysis, or proposal) with inline annotations in a TUI overlay. Extracts the most recent response from Codex rollout files and opens it in revdiff for review and annotation. Activates on "revdiff-plan", "review plan with revdiff", "annotate plan", "review last response"…
code-reviewer
Code review specialist focused on patterns, bugs, security, and performance.
full-repo-review
Comprehensive four-wave review of all repo source files, producing a prioritized issue backlog.
agent-teams-simplify-and-harden
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or…