Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/rjmurillo/ai-agentsnpx agentmods add skills/rjmurillo/ai-agents/adr-reviewWrote 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/rjmurillo/ai-agents/adr-review)<a href="https://agentmods.dev/skills/rjmurillo/ai-agents/adr-review"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/adr-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/rjmurillo/ai-agents/adr-review"><img src="https://agentmods.dev/badge/skills/rjmurillo/ai-agents/adr-review.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 | $0.00134 | $0.02876 |
| Opus 5 | $0.00067 | $0.01438 |
| Sonnet 5 | $0.00027 | $0.00575 |
| Haiku 4.5 | $0.00013 | $0.00288 |
Grade A, and why
adr-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 7d 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ADR Review
Multi-agent debate pattern for rigorous ADR validation. Orchestrates 6 specialized agents through structured review rounds until consensus or 10 rounds maximum.
Triggers
| Trigger Phrase | Operation |
|---|---|
review this ADR |
Full 6-agent debate on specified ADR |
validate ADR-005 |
Targeted review of specific ADR by number |
review this decision record |
ADR review for durable architecture/design decision records |
delete ADR-NNN |
Deletion review with dependency and supersession checks |
ADR file created, modified, or deleted |
Auto-triggered via detect_adr_changes.py |
Quick Start
# Manual triggers:
/adr-review .agents/architecture/ADR-005-api-versioning.md
"review this ADR"
"validate ADR-005"
"review this decision record under docs/decisions"
Automatic Detection: A Claude Code hook runs at session start and detects ADR changes, prompting you to invoke this skill. The pre-commit hook also detects staged ADR files and displays a reminder.
| Input | Output | Consensus Required |
|---|---|---|
| ADR file path | Debate log + Updated ADR | 6/6 Accept or D&C |
File Triggers
| Pattern | Location | Events |
|---|---|---|
ADR-*.md |
.agents/architecture/ |
create, update, delete |
ADR-*.md |
docs/adr/ |
create, update, delete |
ADR-*.md |
docs/architecture/ |
create, update, delete |
ADR-*.md |
docs/decisions/ |
create, update, delete |
ADR-*.md |
architecture/decisions/ |
create, update, delete |
Detection: from the skill directory, run python3 scripts/detect_adr_changes.py --base-path <repo-root>. From repo root, run .claude/skills/adr-review/scripts/detect_adr_changes.py for the Claude skill tree or src/copilot-cli/skills/adr-review/scripts/detect_adr_changes.py for the Copilot CLI mirror.
When to Use
MANDATORY Triggers (automatic):
- Architect creates or updates an ADR
- ANY agent modifies
.agents/architecture/ADR-*.md,docs/adr/ADR-*.md,docs/architecture/ADR-*.md,docs/decisions/ADR-*.md, orarchitecture/decisions/ADR-*.md
What ships with it
9 files 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.
- CLAUDE.md 170 B
- references/agent-prompts.md 12 KB
- references/artifacts.md 2.6 KB
- references/debate-protocol.md 6.9 KB
- references/deletion-workflow.md 2.7 KB
- references/issue-resolution.md 5.8 KB
- references/zimmermann-review-guidance.md 6.3 KB
- scripts/CLAUDE.md 170 B
- scripts/detect_adr_changes.py 20 KB runs code
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.
- 7d ago First seen · 272 lines · 134 tokens per session scan A ecdf41ac4ac4
adr-review is a skill published in the GitHub repository rjmurillo/ai-agents (45 stars, last pushed today), licensed MIT. It adds 134 tokens to every session and 2,876 once invoked, about $0.0007 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 2026-09-03.
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