Borrowing it
Nothing to install: this file belongs to kintecus/build. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kintecus/build/main/.claude/skills/review-prep/SKILL.mdgit clone --depth 1 https://github.com/kintecus/buildWrote 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/kintecus/build/review-prep)<a href="https://agentmods.dev/skills/kintecus/build/review-prep"><img src="https://agentmods.dev/badge/skills/kintecus/build/review-prep/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/kintecus/build/review-prep"><img src="https://agentmods.dev/badge/skills/kintecus/build/review-prep.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 | $0.00083 | $0.01093 |
| Opus 5.5 | $0.00033 | $0.00437 |
| Sonnet 5.5 | $0.00017 | $0.00219 |
| Haiku 4.5 | $0.00008 | $0.00109 |
Grade A, and why
review-prep 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 2mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Prep
Produce a 2-minute punch list that an operator opens before a project review. The job is not to summarize the docs - it is to derive meaning across them: surface what needs a human decision, what quietly stalled, and what no single doc says on its own.
Which project
If the user named a project, use it. If they ran this from inside a project context, use that. If ambiguous, ask which project (one short question, do not guess).
How to run it - use a fresh-context agent
Dispatch a fresh general-purpose agent to read the artifacts and produce the doc. Do NOT do the reading-and-synthesis yourself in the main conversation - if you have been working on the project this session, your context is polluted by what you already know, and you will miss exactly the cross-artifact findings that make this valuable (the whole point is catching what the operator's own working memory misses). Hand the agent only the project root and these instructions.
The agent reads, in order:
STATUS.md- current state, active threads, open questions, next actionsdocs/INDEX.md- the one-line index of every doc; read this to know what exists before opening anything, then open only the live threads (judge from dates - what is active now)- The most recent / most active
docs/files - not all of them, just the ones the index shows are live decisions/*.md- the decision log
Pass the agent today's date explicitly.
Output format - exactly these five sections
1. Project pulse - one line per active thread (skip dormant ones). Format: thread - RED/AMBER/GREEN - the single most important fact about its current state (source: filename). Judge the color: green = moving, amber = waiting/at-risk, red = blocked or overdue.
2. Decisions waiting on the operator - the 3-7 things that genuinely need the operator's judgment now. Each phrased as a crisp question, with a source. Do NOT pad - if it's already decided, it doesn't belong here. Quality over quantity.
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.
- 2mo ago First seen · 56 lines · 83 tokens per session scan A 433564854e72
review-prep is a skill published in the GitHub repository kintecus/build (2 stars, last pushed 3mo ago), licensed MIT. It adds 83 tokens to every session and 1,093 once invoked, about $0.0003 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 2026-08-31.
review-prep compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-prepkintecus/build | Skill | 2 | 3mo ago | MIT | A | 83 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |