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/event4u-app/agent-confignpx agentmods add skills/event4u-app/agent-config/decision-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/event4u-app/agent-config/decision-review)<a href="https://agentmods.dev/skills/event4u-app/agent-config/decision-review"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/decision-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/event4u-app/agent-config/decision-review"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/decision-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 | $0.00041 | $0.04587 |
| Opus 5 | $0.00020 | $0.02294 |
| Sonnet 5 | $0.00008 | $0.00917 |
| Haiku 4.5 | $0.00004 | $0.00459 |
Grade A, and why
decision-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 — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.
decision-review
Audit a past architectural decision: restate what was chosen and why, compare the original assumptions against reality now, and produce a verdict (still valid / needs amendment / superseded). Ends with a
historical-patternsmemory candidate per the Analysis Memory Loop.Direction: backward (did it hold?) not forward (which option?). For forward flow, use
decision-record. For filing the ADR file, useadr-create.
When to use
- Revisiting a past architectural decision: "Did ADR-042 still make sense given what we learned?"
- A prior ADR is being cited as precedent and its validity should be checked before relying on it.
- A post-mortem or retrospective surfaces that an earlier choice may have contributed to problems.
- Preparation for a supersession: confirm the old decision actually needs replacing before writing a new ADR.
- Routed here by
decision-revisit-gatewhen a beneficial change is blocked by a recorded lock (honest-null verdict, "don't relitigate" memory, budget canon, or ADR) — this skill supplies the backward-audit procedure that rule's re-evaluation offer points to.
Do NOT use when:
- Making or locking a new decision — use
decision-record(which builds the options matrix and locks the choice). - The ask is to file or number the ADR file — use
adr-create. - No prior decision or ADR exists to review — nothing to audit.
Procedure
1. Locate and inspect the decision
Identify the ADR in docs/decisions/ (flat, ADR-NNN-<slug>.md) or
docs/adrs/<area>/ (per-area, NNNN-<slug>.md), or a logged
decision in agents/decisions/. If the user named the decision
informally, check the index for the slug before reading. Read the
full file before proceeding.
2. Restate: what was decided and why
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 · 400 lines · 41 tokens per session scan A 0db6d5567c04
decision-review is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 4,587 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 2026-09-03.
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