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-recordWrote 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-record)<a href="https://agentmods.dev/skills/event4u-app/agent-config/decision-record"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/decision-record/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-record"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/decision-record.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 | $0.00038 | $0.03521 |
| Opus 5 | $0.00019 | $0.01760 |
| Sonnet 5 | $0.00008 | $0.00704 |
| Haiku 4.5 | $0.00004 | $0.00352 |
Grade A, and why
decision-record 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 — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.
decision-record
Shape the thinking behind an architectural decision: list the options, expose trade-offs, lock the chosen variant, and wire the supersession chain. Hands off to
adr-createfor file mechanics (numbering, index, frontmatter). This skill does not write the ADR file itself.
When to use
- A team is about to commit to a non-trivial architectural choice and wants the trade-offs on paper first.
- Two engineers disagree on an approach — surface the options and consequences before one wins by attrition.
- A previous decision needs revisiting; the result must
supersede:the older ADR with explicit rationale. - German triggers: "lass uns das festzurren", "Trade-off-Matrix", "welche Option ziehen wir?".
Do NOT use when:
- The file mechanics are the entire ask (numbering, regenerating the
index) — route directly to
adr-create. - The decision is reversible and small (e.g. variable rename) — ADRs are for choices that constrain future work.
- The user wants a feature plan, not a decision — route to the planning command instead.
Cognition cluster
- Mental model 4 — Second-order thinking. Every decision unlocks
some futures and locks out others; the consequences block names
what becomes harder, not just what becomes easier. See
docs/contracts/mental-models.md§ 4. - Mental model 6 — Theory of constraints. A decision that does
not move the binding constraint is theatre; if the trade-off matrix
scores every option the same on the constraint that matters, the
options are fungible — surface and stop. See
mental-models.md§ 6. - Mental model 10 — Reversible vs irreversible. Two-way doors
get a one-page record; one-way doors get the full options +
consequences + supersession chain. The reversibility row of the
matrix decides which template fires. See
mental-models.md§ 10. Corollary — a shortcut through a one-way door is a decision, not a defer. The cheap-and-simple option is preferred where the choice can be walked back later. Where it cannot — a public API shape, a DB schema, a migration, a wire format, a published identifier — "we can simplify this later" is false, so it never ships as a deferred note; it lands here as a recorded decision with its consequences named. The one-way categories are enumerated so the call is not left to a judgement about what feels important. - Team context-spine slot. Read the team slot of the context-spine to capture who is bound by the decision (review groups, on-call rotation). Skip if the consumer project has not filled it; note in the record.
What ships with it
3 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.
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 · 331 lines · 38 tokens per session scan A 532dd196d4ad
decision-record is a skill published in the GitHub repository event4u-app/agent-config (10 stars, last pushed today), licensed MIT. It adds 38 tokens to every session and 3,521 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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