Borrowing it
Nothing to install: this file belongs to albertomarturelo/sii. 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/albertomarturelo/sii/main/.agents/skills/new-decision/SKILL.mdgit clone --depth 1 https://github.com/albertomarturelo/siiWrote 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/albertomarturelo/sii/new-decision)<a href="https://agentmods.dev/skills/albertomarturelo/sii/new-decision"><img src="https://agentmods.dev/badge/skills/albertomarturelo/sii/new-decision/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/albertomarturelo/sii/new-decision"><img src="https://agentmods.dev/badge/skills/albertomarturelo/sii/new-decision.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 | $0.00066 | $0.00409 |
| Opus 5.5 | $0.00026 | $0.00164 |
| Sonnet 5.5 | $0.00013 | $0.00082 |
| Haiku 4.5 | $0.00007 | $0.00041 |
Grade A, and why
new-decision 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 yesterday.
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.
What it actually says
Guide the user through documenting a new architectural decision.
-
Ask: "What decision needs to be made?"
-
Help articulate the Context: what problem are we solving, what constraints apply, what is the trigger for deciding now.
-
Propose 2–3 alternatives with explicit pros and cons. Do not short-circuit to your favorite — the user has to choose.
-
Once chosen, generate a new ADR file at
docs/decisions/<NNN>-<slug>.mdfollowingdocs/decisions/TEMPLATE.mdexactly. Increment<NNN>to one above the highest existing. -
Update
docs/decisions/_index.mdwith the new entry (one row).
Constraints:
- The ADR MUST be ≤100 lines.
- If the decision affects a recurring convention, also update
docs/CONVENTIONS.mdand reference the new ADR there. - Do NOT skip "Alternatives Considered". Future sessions need to know why the rejected paths were rejected, or they'll re-litigate.
- When a rule is ported from the Python
sii-cli, cite the source ADR (e.g. "lineage: sii-py ADR-019") rather than re-deriving it. - Status starts as
Acceptedunless the user explicitly asks forProposed.
When the ADR file is written, stop. The user reviews it before the implementation that depends on it begins.
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.
- yesterday First seen · 39 lines · 66 tokens per session scan A 04d94e926a81
new-decision is a skill published in the GitHub repository albertomarturelo/sii (16 stars, last pushed yesterday), licensed MIT. It adds 66 tokens to every session and 409 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 2026-10-24.
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