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 KimYx0207/Kim_Service --skill semgrep-skillgit clone --depth 1 https://github.com/KimYx0207/Kim_ServiceWrote 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/kimyx0207/kim_service/semgrep-skill)<a href="https://agentmods.dev/skills/kimyx0207/kim_service/semgrep-skill"><img src="https://agentmods.dev/badge/skills/kimyx0207/kim_service/semgrep-skill/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/skills/kimyx0207/kim_service/semgrep-skill"><img src="https://agentmods.dev/badge/skills/kimyx0207/kim_service/semgrep-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00999 |
| Opus 5.5 | $0.00019 | $0.00400 |
| Sonnet 5.5 | $0.00009 | $0.00200 |
| Haiku 4.5 | $0.00005 | $0.00100 |
Grade A, and why
semgrep-skill 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 24d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Local Semgrep security scan
Use only <skill-dir>/scripts/scan.py, where <skill-dir> contains this file.
The package capability.json defines the input, result and optional invocation.
Read it after the caller verifies the discovered package hash. The generated
index selects the package; it does not contain or grant the invocation.
Safety contract
- Require the user's explicit authorized absolute local
workspaceRootand a directorytargetinside it. Never default to the current project or drive. - The wrapper accepts only
rules/local-security.yml, extracts justpython-subprocess-shell-trueandjavascript-evalinto temporary configuration before scanning, and records both hashes. The bundled legacy secret-pattern rule is not executed by this route; credential checks are outside this capability. - It executes an already-installed trusted host CLI with an argv array and
shell:false. Never execute files from the scan target as programs. - Both the version probe and scan use
--metrics off,--disable-version-check, isolated settings/log/cache paths, and a minimal subprocess environment. Caller tokens, proxies and custom Semgrep configuration are not inherited. Windows APPDATA and a computed installed Python user base/site may be retained solely to locate the existing host runtime; caller PYTHONPATH is not inherited. - Do not use
--config auto, registry URLs, Semgrep Cloud, login or uploads. - Do not use
--autofix, write reports, install Semgrep or fetch rules. The installer installs the Skill projection only and requires separate write approval. - stdout contains rule IDs, workspace-relative paths, spans, severity and bundled rule messages. Raw source, metavariables and raw CLI diagnostics are withheld.
Invoke and interpret
From any working directory, pass one UTF-8 JSON object over stdin:
{"schemaVersion":1,"workspaceRoot":"<authorized-absolute-local-root>","target":"<directory-within-root>"}
python "<skill-dir>/scripts/scan.py" --input-json -
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- capability.json 13 KB
- CHANGELOG.md 1.8 KB
- images/二维码基础款.png 825 KB
- images/微信.jpg 70 KB
- images/支付宝.jpg 163 KB
- install.ps1 1001 B runs code
- install.sh 399 B runs code
- LICENSE 1.0 KB
- NOTICE 247 B
- README_EN.md 4.5 KB
- README.md 4.9 KB
- rules/local-security.yml 996 B
- scripts/install.py 14 KB runs code
- scripts/scan.py 18 KB runs code
- tests/fixtures/safe.js 86 B runs code
- tests/fixtures/safe.py 77 B runs code
- tests/fixtures/vulnerable.js 73 B runs code
- tests/fixtures/vulnerable.py 103 B runs code
- tests/test_behavior.py 2.7 KB runs code
- tests/test_installer.py 8.0 KB runs code
- tests/test_scan.py 9.8 KB runs code
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.
- 24d ago Changed · +5 lines · -3 tokens per session a33b5a876fe9
- 1mo ago Changed · -75 lines · -25 tokens per session e099063e9b98
- 1mo ago First seen · 156 lines · 75 tokens per session scan A 0bc6c11b07d4
semgrep-skill is a skill published in the GitHub repository KimYx0207/Kim_Service (177 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 999 once invoked, about $0.0002 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 2026-08-30.
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