Borrowing it
Nothing to install: this file belongs to kangjinghang/agent-chatlens. 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/kangjinghang/agent-chatlens/main/CLAUDE.mdgit clone --depth 1 https://github.com/kangjinghang/agent-chatlensWrote 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/kangjinghang/agent-chatlens/claude-md)<a href="https://agentmods.dev/instructions/kangjinghang/agent-chatlens/claude-md"><img src="https://agentmods.dev/badge/instructions/kangjinghang/agent-chatlens/claude-md/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/instructions/kangjinghang/agent-chatlens/claude-md"><img src="https://agentmods.dev/badge/instructions/kangjinghang/agent-chatlens/claude-md.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 | $0.01281 | $0.01281 |
| Opus 5 | $0.00641 | $0.00641 |
| Sonnet 5 | $0.00256 | $0.00256 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
agent-chatlens 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 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.
How it starts
The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Project Overview
Agent ChatLens is a pure-frontend React app for viewing AI agent session files (JSONL/JSON format). It supports OpenClaw, Claude Code, and Gemini CLI session formats with auto-detection.
Commands
- Dev server:
bun dev(runs on port 3000, auto-opens browser) - Build:
bun run build(runstsc && vite build, outputs todist/) - Preview production build:
bun run preview - Type checking:
npx tsc --noEmit - Run tests:
bun test(Vitest, runs allsrc/**/*.test.ts) - Run a single test:
bun test src/parser/__tests__/parser.test.ts - Watch tests:
bun run test:watch
No linter or formatter is configured.
Testing
Tests use Vitest and focus on the parser layer (src/parser/__tests__/). Synthetic fixtures cover format detection, chunk merging, tool calls/results, and edge cases. Real session files from ~/.openclaw/ and ~/.claude/ are also tested when present. Note: tsconfig.json excludes test files from type checking — only npx tsc --noEmit for src/ (non-test) code.
Architecture
Session file (.jsonl/.json) → parseSession() → ParsedSession → groupIntoTurns() → Turn[] → SessionList → TurnView / TimelineView → ContentBlock renderers
Parser layer (src/parser/)
The core of the app. Three format-specific parsers produce a unified DisplayMessage[]:
types.ts— Shared types:DisplayMessage,ContentBlock(text/thinking/toolUse/toolResult),ParsedSession,Turn,RawEntryindex.ts—parseSession()entry point: tries JSON parse first (Gemini CLI), then falls back to JSONL line parsing. Auto-detects format viadetectFormat(), delegates to the correct parser. Also exportsgroupIntoTurns()for turn-based grouping.openclaw.ts— Parses OpenClaw format: all entries havetype="message", role insidemessage.role, tool calls usetype="toolCall"withargumentsclaude-code.ts— Parses Claude Code format: entry types are"user"/"assistant", assistant messages are streamed (multiple chunks sharing samemessage.idthat get merged viamergeAssistantChunks()), IDs useuuid/parentUuidgemini-cli.ts— Parses Gemini CLI format: single JSON file withmessagesarray, parts containtext/functionCall/functionResponse
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 · 70 lines · 1,281 tokens per session scan A 60703262cf5e
agent-chatlens CLAUDE.md is an instructions file published in the GitHub repository kangjinghang/agent-chatlens (5 stars, last pushed 3mo ago), licensed MIT. It adds 1,281 tokens to every session, about $0.0064 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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