Borrowing it
Nothing to install: this file belongs to chacosoldier/compabob. 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/chacosoldier/compabob/main/.claude/skills/log-decision/SKILL.mdgit clone --depth 1 https://github.com/chacosoldier/compabobWrote 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/chacosoldier/compabob/log-decision)<a href="https://agentmods.dev/skills/chacosoldier/compabob/log-decision"><img src="https://agentmods.dev/badge/skills/chacosoldier/compabob/log-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/chacosoldier/compabob/log-decision"><img src="https://agentmods.dev/badge/skills/chacosoldier/compabob/log-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 | $0.00044 | $0.00369 |
| Opus 5.5 | $0.00018 | $0.00148 |
| Sonnet 5.5 | $0.00009 | $0.00074 |
| Haiku 4.5 | $0.00004 | $0.00037 |
Grade A, and why
log-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
Log Decision
Capture a decision while the reasoning is fresh, so it can be reviewed honestly later. The point is calibration: a decision logged with its expected outcome can be checked against what actually happened.
Steps
- Gather the decision: what was decided, when, and by whom.
- Capture the reasoning: the key factors, and the single most important one.
- Capture the alternatives: what else was on the table, and why it lost. "Do nothing" counts.
- State the expected outcome and a review date (usually 30 to 90 days out).
- Write to
vault/Decisions/YYYY-MM-DD-<slug>.md.
Format
---
title: [decision]
date: YYYY-MM-DD
review_on: YYYY-MM-DD
status: open
tags: [decision]
---
# [Decision]
**Decision**: [what was decided]
**Why**: [the reasoning, most important factor first]
**Alternatives considered**:
- [option]: rejected because [...]
**Expected outcome**: [what success looks like, concretely]
**Review on <review-date>**: _(left blank until the review)_
Reviewing
When /log-decision review is run, list decisions whose review_on date has passed, and for each ask: did it work out? Fill in the review section and set status to validated, mixed, or wrong. Honest reviews are the whole value.
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 dd516dd5d6c9
- 1mo ago First seen · 46 lines · 44 tokens per session scan A 63cb9867265e
log-decision is a skill published in the GitHub repository chacosoldier/compabob (34 stars, last pushed 5d ago), licensed MIT. It adds 44 tokens to every session and 369 once invoked, about $0.0002 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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