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 agentmods add skills/pr3m/claude-code-bash-smart-approve/review-lognpx skills add pr3m/claude-code-bash-smart-approve --skill review-loggit clone --depth 1 https://github.com/pr3m/claude-code-bash-smart-approveWrote 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/pr3m/claude-code-bash-smart-approve/review-log)<a href="https://agentmods.dev/skills/pr3m/claude-code-bash-smart-approve/review-log"><img src="https://agentmods.dev/badge/skills/pr3m/claude-code-bash-smart-approve/review-log.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.00354 |
| Opus 5 | $0.00023 | $0.00177 |
| Sonnet 5 | $0.00009 | $0.00071 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
bash-smart-approve:review-log 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 5d 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
Review Audit Log
Summarize recent decisions from the bash-smart-approve log file.
Step 1 — Locate the log
Default: ~/.claude/bash-smart-approve.log.
If the user has set logFile in $CLAUDE_PLUGIN_DATA/config.json, ~/.claude/bash-smart-approve.json, or the project's .claude/bash-smart-approve.json, use that path instead (the project override takes precedence).
Step 2 — Read entries
Each line is one JSON object:
{"ts":"2026-04-15T09:00:00Z","cwd":"/path","decision":"allow|ask","reason":"...","command":"..."}
Show the last 20 entries by default. If the user asks for a specific decision (allow / ask / deny), filter accordingly.
Step 3 — Summarize
Group the output:
- Allowed — count + top 5 binaries/commands.
- Asked / prompted — count + top reasons (helps the user spot allow-list gaps).
- Denied — if any, show them all (rare).
Flag anything surprising: repeated asks for the same command (candidate for the allowlist), unexpected binaries, commands from unusual cwds.
Step 4 — Offer follow-up
"Spot a command you'd like auto-approved going forward? I can run
/bash-smart-approve:allow <command>to whitelist it."
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.
- 5d ago First seen · 38 lines · 46 tokens per session scan A 9173c4a10e29
bash-smart-approve:review-log is a skill published in the GitHub repository pr3m/claude-code-bash-smart-approve (1 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 354 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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