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 zhagqn/agentwork --skill codegraphgit clone --depth 1 https://github.com/zhagqn/agentworkWrote 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/zhagqn/agentwork/codegraph)<a href="https://agentmods.dev/skills/zhagqn/agentwork/codegraph"><img src="https://agentmods.dev/badge/skills/zhagqn/agentwork/codegraph.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 | $0.00045 | $0.00307 |
| Opus 5 | $0.00023 | $0.00153 |
| Sonnet 5 | $0.00009 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
codegraph 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 2d 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
codegraph
Pi 项目级 CodeGraph 技能入口。
执行前必读
- 完整读取本 tool pack 随附的参考：
../../../.shared/mcp/codegraph.md - 若项目存在
.shared/patterns/semantic-navigation.md，同时遵循其中的通用语义导航约束。
使用边界
- 先确认当前仓库存在
.codegraph/，并且codegraphCLI 可用。 - 满足条件时优先执行
codegraph explore "<symbol names or question>"；根据结果再读取必要文件。 - 不假设 Pi 已连接 CodeGraph MCP，也不生成或修改
.pi/settings.json。 - CLI 或索引缺失时，直接回退 Pi 的本地读取/搜索能力；不要把回退结果描述成 CodeGraph 输出。
codegraph init、install、upgrade、uninit、uninstall会改变项目或机器状态，执行前说明影响并获得用户明确授权。
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.
- 2d ago First seen · 23 lines · 45 tokens per session scan A 4995709d331b
codegraph is a skill published in the GitHub repository zhagqn/agentwork (101 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 307 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 2026-09-05.
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