claude-skills is a large collection of reusable skills, commands, plugins, and supporting resources for coding agents across engineering, business, research, compliance, and productivity work. It is used by people who want agents such as Claude Code, Codex, Gemini CLI, or Cursor to follow specialized workflows. The catalogue contains selected skills and settings from the collection.
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 alirezarezvani/claude-skills --skill decision-loggergit clone --depth 1 https://github.com/alirezarezvani/claude-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/alirezarezvani/claude-skills/decision-logger)<a href="https://agentmods.dev/skills/alirezarezvani/claude-skills/decision-logger"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-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/alirezarezvani/claude-skills/decision-logger"><img src="https://agentmods.dev/badge/skills/alirezarezvani/claude-skills/decision-logger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00077 | $0.01408 |
| Opus 5.5 | $0.00031 | $0.00563 |
| Sonnet 5.5 | $0.00015 | $0.00282 |
| Haiku 4.5 | $0.00008 | $0.00141 |
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 today.
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 — 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, /decision-logger decisions, /decision-logger 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 |
|---|---|
/decision-logger decisions |
Last 10 approved decisions |
/decision-logger decisions --all |
Full history |
/decision-logger decisions --owner CMO |
Filter by owner |
/decision-logger decisions --topic pricing |
Search by keyword |
/decision-logger review |
Action items due within 7 days |
/decision-logger 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 /c-level-agents: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
2 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.
- today Changed · +154 lines · +77 tokens per session a38a14f8400e
- 2d ago First seen · 1 lines · 0 tokens per session scan A 13591feaea4d
decision-logger is a skill published in the GitHub repository alirezarezvani/claude-skills (28,607 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 1,408 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 2026-10-22.
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