Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bestagentkits/agency-skills --skill decision-loggergit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/decision-logger)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/decision-logger"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/decision-logger/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/bestagentkits/agency-skills/decision-logger"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/decision-logger.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 | $0.00076 | $0.01400 |
| Opus 5 | $0.00038 | $0.00700 |
| Sonnet 5 | $0.00015 | $0.00280 |
| Haiku 4.5 | $0.00008 | $0.00140 |
Grade A, and why
decision-logger 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 9d 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.
This is a copy
88% identical to decision-logger — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Logger
Two-layer memory system. Layer 1 stores everything. Layer 2 stores only what the founder approved. Future meetings read Layer 2 only — this prevents hallucinated consensus from past debates bleeding into new deliberations.
Keywords
decision log, memory, approved decisions, action items, board minutes, /cs:decisions, /cs:review, conflict detection, DO_NOT_RESURFACE
Quick Start
python scripts/decision_tracker.py --demo # See sample output
python scripts/decision_tracker.py --summary # Overview + overdue
python scripts/decision_tracker.py --overdue # Past-deadline actions
python scripts/decision_tracker.py --conflicts # Contradiction detection
python scripts/decision_tracker.py --owner "CTO" # Filter by owner
python scripts/decision_tracker.py --search "pricing" # Search decisions
Commands
| Command | Effect |
|---|---|
/cs:decisions |
Last 10 approved decisions |
/cs:decisions --all |
Full history |
/cs:decisions --owner CMO |
Filter by owner |
/cs:decisions --topic pricing |
Search by keyword |
/cs:review |
Action items due within 7 days |
/cs:review --overdue |
Items past deadline |
Two-Layer Architecture
Storage follows the canonical two-layer decision memory (see ../agent-protocol/SKILL.md → "Decision Memory (Canonical Layout)") — the same layout /cs:decide writes.
Layer 1 — Raw Transcripts
Location: ~/.claude/decisions/raw/YYYY-MM-DD-<slug>.md
- Full Phase 2 agent contributions, Phase 3 critique, Phase 4 synthesis
- All debates, including rejected arguments
- NEVER auto-loaded. Only on explicit founder request.
- Archive after 90 days →
~/.claude/decisions/raw/archive/YYYY/
Layer 2 — Approved Decisions
Location: ~/.claude/decisions/approved/ — one record per decision (YYYY-MM-DD-<slug>.md) plus the append-only index decisions.md
- ONLY founder-approved decisions, action items, user corrections
- Loaded automatically in Phase 1 of every board meeting
- Append-only. Decisions are never deleted — only superseded.
- Managed by Chief of Staff after Phase 5. Never written by agents directly.
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.
- 9d ago First seen · 155 lines · 76 tokens per session scan A 3fd0f0133222
decision-logger is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 1,400 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to decision-logger, differing in 11 lines, and is treated as a copy.
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