Borrowing it
Nothing to install: this file belongs to rust-works/succinctly. 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/rust-works/succinctly/main/.claude/skills/review-adr/SKILL.mdgit clone --depth 1 https://github.com/rust-works/succinctlyWrote 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/rust-works/succinctly/review-adr)<a href="https://agentmods.dev/skills/rust-works/succinctly/review-adr"><img src="https://agentmods.dev/badge/skills/rust-works/succinctly/review-adr/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/rust-works/succinctly/review-adr"><img src="https://agentmods.dev/badge/skills/rust-works/succinctly/review-adr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00064 | $0.02700 |
| Opus 5.5 | $0.00026 | $0.01080 |
| Sonnet 5.5 | $0.00013 | $0.00540 |
| Haiku 4.5 | $0.00006 | $0.00270 |
Grade A, and why
review-adr 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 3d 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Review Skill
Review one or more Architecture Decision Records (ADRs) across four dimensions: structural accuracy, project conformance, decision quality, and implementation quality.
Step 0: Determine What to Review
Parse $ARGUMENTS to determine the review mode:
| Argument | Action |
|---|---|
A number (5, 05, 0005) |
Review docs/adrs/adr-NNNN.md in the current project |
| A filename or path | Review that specific ADR file |
all |
Review every adr-*.md in docs/adrs/ |
issue or a GitHub issue URL |
Review a proposed ADR pasted or fetched from the issue |
| No argument or an ADR in the chat | Ask the user what to review, or use the ADR already in context |
If the argument is a GitHub issue URL, use gh issue view <number> --repo <owner/repo> to
fetch the issue body, then extract the ADR text from it.
Step 1: Load the ADR Standard
Read the project's foundational ADR to understand the expected format and conventions:
- Look for
docs/adrs/adr-0000.mdin the current working directory. - If found, read it — it is the project's authoritative definition of ADR structure, purpose, naming, and storage conventions.
- If not found, fall back to the Michael Nygard baseline:
- Title — short noun phrase,
ADR-NNNN: <title> - Status — one of Proposed / Accepted / Deprecated / Superseded
- Context — the forces at play; why a decision was needed
- Decision — active voice ("We will ..."); the response to those forces
- Consequences — positive, negative, and neutral outcomes
- Stored in version control alongside the code; one decision per record; 1–2 pages
- Title — short noun phrase,
Step 2: Load the ADR(s) to Review
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.
- 1mo ago Changed · -2 lines added213714e
- 2mo ago First seen · 249 lines · 64 tokens per session scan A 6c441698f2e9
review-adr is a skill published in the GitHub repository rust-works/succinctly (52 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 2,700 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 2026-08-30.
review-adr compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-adrrust-works/succinctly | Skill | 52 | yesterday | MIT | A | 64 | 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 |