Borrowing it
Nothing to install: this file belongs to irmowan/claude-code-prompt-recorder. 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/irmowan/claude-code-prompt-recorder/main/CLAUDE.mdgit clone --depth 1 https://github.com/irmowan/claude-code-prompt-recorderWrote 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/instructions/irmowan/claude-code-prompt-recorder/claude-md)<a href="https://agentmods.dev/instructions/irmowan/claude-code-prompt-recorder/claude-md"><img src="https://agentmods.dev/badge/instructions/irmowan/claude-code-prompt-recorder/claude-md.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 | $0.00381 | $0.00381 |
| Opus 5 | $0.00191 | $0.00191 |
| Sonnet 5 | $0.00076 | $0.00076 |
| Haiku 4.5 | $0.00038 | $0.00038 |
Grade A, and why
claude-code-prompt-recorder CLAUDE.md 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 7d 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
Claude Code Prompt Recorder
A UserPromptSubmit hook plugin that records every user prompt with a timestamp to .claude/prompt_log.txt in the project directory.
Core functionality:
- Intercepts prompts via UserPromptSubmit hook
- Records timestamp + prompt text to
.claude/prompt_log.txt - Pass-through only — does not modify prompts
- Skips empty prompts
Architecture
Hook Layer (hooks/hooks.json):
- Registers
UserPromptSubmitevent withmatcher: "*" - Invokes
scripts/record-prompt.pyvia command hook - Timeout: 10 seconds
Script (scripts/record-prompt.py):
- Reads JSON from stdin (
user_prompt,cwd,session_id) - Appends
[YYYY-MM-DD HH:MM:SS] <prompt>to<cwd>/.claude/prompt_log.txt - Outputs pass-through JSON with empty
hookSpecificOutput
Directory structure:
scripts/- Hook scripthooks/- Hook configurationtests/- Test suite.claude-plugin/- Plugin metadata
Build Commands
Testing:
- Run all tests:
python -m pytest tests/ - Run hook tests:
python -m pytest tests/test_hook.py
Conventions
Hook output format:
- JSON structure:
{"hookSpecificOutput": {"hookEventName": "UserPromptSubmit"}} - No
additionalContext— prompt is not modified - Exit code 0 for all success paths
Log format:
- One line per prompt:
[YYYY-MM-DD HH:MM:SS] <prompt text> - UTF-8 encoding, append mode
- File:
.claude/prompt_log.txtin working directory (directory created if missing)
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.
- 7d ago First seen · 46 lines · 381 tokens per session scan A ca68d02d87b8
claude-code-prompt-recorder CLAUDE.md is an instructions file published in the GitHub repository irmowan/claude-code-prompt-recorder (2 stars, last pushed 7mo ago), licensed MIT. It adds 381 tokens to every session, about $0.0019 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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