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.
git clone --depth 1 https://github.com/Jewgah/claude-code-skillsWrote 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/commands/jewgah/claude-code-skills/review-plan)<a href="https://agentmods.dev/commands/jewgah/claude-code-skills/review-plan"><img src="https://agentmods.dev/badge/commands/jewgah/claude-code-skills/review-plan/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/commands/jewgah/claude-code-skills/review-plan"><img src="https://agentmods.dev/badge/commands/jewgah/claude-code-skills/review-plan.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 | $0.00021 | $0.01320 |
| Opus 5.5 | $0.00008 | $0.00528 |
| Sonnet 5.5 | $0.00004 | $0.00264 |
| Haiku 4.5 | $0.00002 | $0.00132 |
Grade A, and why
review-plan scanned grade A with 1 finding 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 26d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
query, a curl) over reading code when one exists — an executed proof beats an How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Locate the plan to review, in this priority order, and state which source you used in one line before starting:
- If
$ARGUMENTSis non-empty, review that text as the plan. - Else, the plan file this conversation wrote or was handed (plan mode, or a path a caller named). Never fall back to the newest file in
~/.claude/plans/: parallel sessions write there too, so it can be another session's plan. - Else, the approach described in my previous message.
- Else, ask for the plan.
State the plan file's path AND its first heading before reviewing, so a wrong file is visible immediately.
Proportionality: depth scales with blast radius. A one-line fix gets a one-paragraph review; do not manufacture findings to fill the checklist — an honest "nothing found" on a step is a valid answer.
Critically review the current plan or approach before proceeding with implementation:
-
Restate the goal: What exactly are we trying to achieve? Strip away assumptions and re-read the original request.
-
Challenge assumptions: For each step in the plan:
- What are we assuming to be true? Is it actually true?
- Read the relevant code/docs to verify — don't rely on memory or guesses
- For the RISKIEST assumption, prefer a cheap runnable read-only check (a script, a query, a curl) over reading code when one exists — an executed proof beats an inferred one (e.g. run the exact DB query the plan relies on against a copy/prod read-only before betting the fix on it).
- Are we solving the right problem, or a symptom?
- Does the plan ADD capability (a column, table, setting, endpoint, screen section)?
Then it must already carry a measured "what already exists" section. If it does not,
that is a finding on its own: say so and run the lookup yourself before judging the rest.
Do not accept "it does not exist" as a claim, accept it as a grep or a
COUNT(*). This is the check that turned two plans around in one afternoon: one was adding empty inputs beside fields populated on 203 rows out of 203, the other was creating a settings table next to an existing one. Both plans read as sound until the lookup was run.
2b. Project-rules check: grep the target repo's CLAUDE.md + recalled memories for
project-specific rules the plan touches — branch/deploy gotchas, "new query ships its
index in the same commit", i18n locale count, commit/dependency conventions. Cite each
rule the plan interacts with and say whether it complies. (A missing-index rule
violation shipped to prod precisely because no review step looked for repo rules.)
2c. Root-cause / attribution audit (when the plan — or the message/diagnosis it rests on — pins a fault, especially on an external party or vendor): (a) was OUR side of the flow inspected and the exact code path cited? Where an error originates is not where it is caused. (b) Is a "systemic" claim backed by ≥2 independent data points, not one case? (c) Has the "assume it IS us" devil's-advocate pass been run? If any answer is no, the attribution is unproven — flag it and demand the check before the plan proceeds. (Origin: a confident external-blame diagnosis shipped with none of these done.)
-
Error scenario audit: Walk through every failure path:
- What happens if the input is missing, malformed, or unexpected?
- What happens if an external service (API, DB, auth) fails or times out?
- What happens if this runs concurrently or out of order?
- What edge cases could break this silently (empty arrays, null values, race conditions)?
-
Blast radius check:
- What else could this change break? Search for all callers/consumers of modified code
- Are we changing a shared interface, type, or contract?
- Could this affect other environments (prod, staging, other projects)?
-
Simpler alternative: Is there a simpler way to achieve the same result?
- Are we over-engineering or adding unnecessary abstraction?
- Could we use an existing utility, pattern, or library instead?
- Would a 3-line fix do what a 50-line refactor does?
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.
- 26d ago Changed 59f96edd6f38
- 1mo ago Changed · +7 lines b2576636e760
- 2mo ago First seen · 80 lines · 21 tokens per session scan A eaaad975ba59
review-plan is a command published in the GitHub repository Jewgah/claude-code-skills (2 stars, last pushed 2d ago), licensed MIT. It adds 21 tokens to every session and 1,320 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
critique
Design lens critique covering visual hierarchy, clarity, and anti-slop patterns — produces a findings table, no code edits unless asked. Use when the user wants a design review, says "what's wrong with this UI", or needs a second opinion before a handoff or presentation.
devkit.github.review-pr
Provides comprehensive GitHub pull request review with code quality, security, and best practices analysis. Use when reviewing a PR before merging.
devkit.react.code-review
Provides comprehensive React 19 + Tailwind CSS code review focusing on modern patterns, hooks, Server Components, Actions, performance, accessibility, and Tailwind best practices. Use when reviewing React code changes or before merging pull requests.
cc-review
(Conductor) Review code changes against spec and standards.
branch-review
Review a branch before merge.
fix-comments
Address PR review comments by implementing requested changes automatically.