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/modelengine-group/fit-framework/close-codescannpx skills add ModelEngine-Group/fit-framework --skill close-codescangit clone --depth 1 https://github.com/ModelEngine-Group/fit-frameworkWhat 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 | $0.00048 | $0.00295 |
| Opus 5 | $0.00024 | $0.00148 |
| Sonnet 5 | $0.00010 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
close-codescan 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 yesterday.
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
关闭 Code Scanning 告警
执行步骤
-
获取告警信息:
gh api "repos/{owner}/{repo}/code-scanning/alerts/<alert-number>" -
展示告警详情（规则 ID、严重程度、源码位置、告警消息）。
-
询问关闭理由:
- 误报（False Positive）
- 不会修复（Won't Fix）
- 测试代码（Used in Tests）
-
要求详细说明（最少 20 个字符）。
-
最终确认后执行关闭:
gh api --method PATCH "repos/{owner}/{repo}/code-scanning/alerts/<alert-number>" -f state=dismissed -f dismissed_reason="<reason>" -f dismissed_comment="<comment>"dismissed_reason 有效值: "false positive", "won't fix", "used in tests"
注意: 谨慎关闭高危告警，优先考虑修复源代码。建议先使用 analyze-codescan 进行详细分析。
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.
- yesterday First seen · 31 lines · 48 tokens per session scan A b35def68047e
close-codescan is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 48 tokens to every session and 295 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 2026-08-30.
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