Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add KnowledgeXLab/skill-git/plugin install skill-gitWrote 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/commands/knowledgexlab/skill-git/scan)<a href="https://agentmods.dev/commands/knowledgexlab/skill-git/scan"><img src="https://agentmods.dev/badge/commands/knowledgexlab/skill-git/scan/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/commands/knowledgexlab/skill-git/scan"><img src="https://agentmods.dev/badge/commands/knowledgexlab/skill-git/scan.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 | $0.00047 | $0.06430 |
| Opus 5.5 | $0.00019 | $0.02572 |
| Sonnet 5.5 | $0.00009 | $0.01286 |
| Haiku 4.5 | $0.00005 | $0.00643 |
Grade A, and why
skill-git:scan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 597 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are running /skill-git:scan. Follow these steps exactly.
All output shown to the user must be in English.
Task Tracking
You MUST create a task for each item below and update each task's status as you progress (pending → in_progress → completed):
- Resolve target skills — validate requested skills or use all registered skills
- Pre-filter by description — group skills by domain similarity, skip unrelated pairs
- Extract rules (Phase 1) — load from cache or dispatch subagents to extract rules per skill
- Cluster and analyze pairs (Phase 2) — pool rules into topics, derive overlap metrics per pair
- Save results and output report — persist to
latest.jsonand display merge suggestions
Prelude
!bash "${CLAUDE_PLUGIN_ROOT}/scripts/sg-prelude.sh" $ARGUMENTS
Parse $ARGUMENTS for remaining flags (after the prelude has consumed -a <value>):
- Scan for
-for--force. If present, setforce = true; otherwiseforce = false. - Extract all remaining tokens (non-flag, non-flag-value) as
requested_skillslist.
If STATUS is not ok:
- Re-examine RAW_ARGUMENTS — check if the user expressed an agent name or intent that can be semantically resolved (e.g. a typo, a paraphrase, or an implicit default).
- If you can determine intent, note the resolution and proceed.
- If STATUS is
not_initializedand INITIALIZED_AGENTS is non-empty, suggest/skill-git:init -a <agent>. - If STATUS is
error, display REASON as a plain-language error and stop. - If intent cannot be resolved, display a clear error and stop.
Use AGENT, GLOBAL_BASE, and SKILLS_JSON from prelude output for all subsequent steps. The skills map referred to throughout this document is the parsed content of SKILLS_JSON.
Agent name in positional position: If $ARGUMENTS contains a known agent name (claude, gemini, codex, openclaw) as a standalone positional token not preceded by -a, silently treat it as -a <agent>: override AGENT, re-read GLOBAL_BASE and SKILLS_JSON from ~/.skill-git/config.json for that agent. Do not pass it to requested_skills.
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 · 597 lines · 0 tokens per session scan A 70b6600c41a7
skill-git:scan is a command published in the GitHub repository KnowledgeXLab/skill-git (42 stars, last pushed 6mo ago), licensed MIT. It adds 47 tokens to every session and 6,430 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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