Borrowing it
Nothing to install: this file belongs to takeshiD/cxstat. 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/takeshiD/cxstat/main/AGENTS.mdgit clone --depth 1 https://github.com/takeshiD/cxstatWrote 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/takeshid/cxstat/agents-md)<a href="https://agentmods.dev/instructions/takeshid/cxstat/agents-md"><img src="https://agentmods.dev/badge/instructions/takeshid/cxstat/agents-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/takeshid/cxstat/agents-md"><img src="https://agentmods.dev/badge/instructions/takeshid/cxstat/agents-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 | $0.01222 | $0.01222 |
| Opus 5.5 | $0.00489 | $0.00489 |
| Sonnet 5.5 | $0.00244 | $0.00244 |
| Haiku 4.5 | $0.00122 | $0.00122 |
Grade A, and why
cxstat AGENTS.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 2mo 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cxstat Agent Design
Overview
- Purpose: gather MCP and shell tool usage from Codex CLI session logs under
~/.codex/sessionsand expose user-friendly CLI reports. - Success criteria: Typer-based command structure, Rich-formatted summaries, and project-wide plus per-project token statistics.
- Constraints: Python 3.12+, existing parsing utilities in
cxstat/main.py, mandatory Pyright/Ruff validation in follow-up implementation. - Quality gate: every coding iteration must run
uv run pyrightanduv run ruff checkbefore changes are considered complete.
CLI Architecture
- Replace the standalone
main()argparse entry point with a Typer application (cxstat/cli.py). - Root callback defines shared options (
--sessions-root,--top,--detail,--theme). - Commands:
cxstat(default action mapped tosummary) prints global usage breakdown across all projects and tools.cxstat list-projectlists each project (derived from session path) with aggregated token totals and call counts.
- Packaging: update
pyproject.tomlscript entry tocxstat = "cxstat.cli:app"; exposeappfromcxstat/__init__.py.
Data Model & Aggregation
- Reuse
CallRecordandAggregateto capture per-invocation details and token metrics. - Introduce structures:
ProjectUsage: project identifier plus per-toolAggregatemap.UsageReport: overall totals, project summaries, and optional detailed rankings.
- Enhance
parse_logsto emit project-aware records by inferring the project root from each log file path. - Expand aggregation logic (
aggregate_usage) to compute:- Global tool/provider/detail stats (existing functionality).
- Per-project totals for shell vs MCP (extendable to other tools).
Presentation Layer
- Build dedicated rendering helpers in
cxstat/view.py(or similar) that accept aggregation results and produce Rich tables. - Use
Console.printwithTableobjects, configuring column alignment, styles, and optional zebra striping for readability. summarycommand: render counts of total tokens, input/output split, call volume, and top-N rankings (limit via--top, colour palette via--theme).list-projectcommand: render project name/path, combined token totals, per-tool splits, and latest invocation timestamp (if available).- Provide graceful empty-state messaging (
[yellow]No data found[/yellow]) when logs are absent.
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.
- 2mo ago First seen · 102 lines · 1,222 tokens per session scan A 32b579270e96
cxstat AGENTS.md is an instructions file published in the GitHub repository takeshiD/cxstat (5 stars, last pushed 1y ago), licensed MIT. It adds 1,222 tokens to every session, about $0.0049 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 2026-08-31.
cxstat AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cxstat AGENTS.mdtakeshiD/cxstat | Instructions file | 5 | 1y ago | MIT | A | 1,222 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |