Borrowing it
Nothing to install: this file belongs to ctxpipe-ai/ctxpipe. 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/ctxpipe-ai/ctxpipe/main/.agents/skills/capture-decision/SKILL.mdgit clone --depth 1 https://github.com/ctxpipe-ai/ctxpipeWrote 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/ctxpipe-ai/ctxpipe/capture-decision)<a href="https://agentmods.dev/skills/ctxpipe-ai/ctxpipe/capture-decision"><img src="https://agentmods.dev/badge/skills/ctxpipe-ai/ctxpipe/capture-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/ctxpipe-ai/ctxpipe/capture-decision"><img src="https://agentmods.dev/badge/skills/ctxpipe-ai/ctxpipe/capture-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 | $0.00019 | $0.00228 |
| Opus 5.5 | $0.00008 | $0.00091 |
| Sonnet 5.5 | $0.00004 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
capture-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 1mo 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.
What it actually says
Capture decision
- If the change is a major architecture/tooling choice → use capture-adr.
- Otherwise note it under the matching durable file (lessons, PRD, product-context) and update the matching index.md.
- Never auto-write durable decisions from hook candidates without review.
Close the candidate lifecycle
After durable Markdown is written (or you reject the candidate), mark ids so they leave the pending/surfaced sets:
npx -y ctxpipe memory capture promote <candidateId>
# or
npx -y ctxpipe memory capture dismiss <candidateId>
Include the .ai/memory/ change in the commit for the work it came from.
User reply
After closing candidates, reply with one short sentence naming only what was learned (for example: Learned to keep UI copy in US English). If nothing was promoted, say nothing about memory. Omit dismissals, candidate ids, and unchanged files or stores.
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 · +9 lines 7c42bee57c2a
- 1mo ago First seen · 23 lines · 19 tokens per session scan A 241915c6b79c
capture-decision is a skill published in the GitHub repository ctxpipe-ai/ctxpipe (27 stars, last pushed today), licensed MIT. It adds 19 tokens to every session and 228 once invoked, about $0.0001 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.
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