skill-git:list

A command that shows all skills registered for a coding agent, including each skill’s version and description.

In plain words
What is it for?
Use it when you want to review your installed skills, their versions, or their descriptions.
Why use it?
It gives you one place to check which skills are available and whether the skill system has been initialized.

Command

Install

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.

agentmods
npx agentmods add commands/knowledgexlab/skill-git/list
Clone the repo
git clone --depth 1 https://github.com/KnowledgeXLab/skill-git
Per session 46 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 365 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00046 $0.00365
Opus 5 $0.00023 $0.00182
Sonnet 5 $0.00009 $0.00073
Haiku 4.5 $0.00005 $0.00036

Measured yesterday against content hash 0133c784a56b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

skill-git:list 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.

commands/list.md · 35 lines

What it actually says

You are running /skill-git:list. Follow these steps exactly.

All output shown to the user must be in English.

Prelude

!bash "${CLAUDE_PLUGIN_ROOT}/scripts/sg-prelude.sh" $ARGUMENTS

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 or implicit default).
  • If STATUS is not_initialized and INITIALIZED_AGENTS is non-empty, suggest /skill-git:init -a <agent>.
  • If STATUS is not_initialized and INITIALIZED_AGENTS is empty, tell the user to run /skill-git:init first.
  • If STATUS is error, display REASON as a plain-language error and stop.

Use AGENT, GLOBAL_BASE, and SKILLS_JSON from prelude output.

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>.

Step 1 — List Skills

Run:

bash "${CLAUDE_PLUGIN_ROOT}/scripts/sg-list.sh" "<global_base>" '<skills_json>' $ARGUMENTS

Display the script output to the user.

Changes

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.

  1. yesterday First seen · 35 lines · 0 tokens per session scan A 0133c784a56b

Subscribe to this mod's changes

skill-git:list is a command published in the GitHub repository KnowledgeXLab/skill-git (41 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 365 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.