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/melodic-software/claude-code-plugins/use-your-skillsnpx skills add melodic-software/claude-code-plugins --skill use-your-skillsgit clone --depth 1 https://github.com/melodic-software/claude-code-pluginsWrote 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/melodic-software/claude-code-plugins/use-your-skills)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/use-your-skills"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/use-your-skills.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 | $0.00144 | $0.02012 |
| Opus 5 | $0.00072 | $0.01006 |
| Sonnet 5 | $0.00029 | $0.00402 |
| Haiku 4.5 | $0.00014 | $0.00201 |
Grade A, and why
use-your-skills 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.
How it starts
The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Use your skills
A drift corrector for skill-use discipline: the skills are in context to be
used, not ignored. The method, re-anchor, audit the work in flight, correct
forward, report, and the tone that firing this is not an accusation, lives in
${CLAUDE_PLUGIN_ROOT}/context/re-anchor-audit-correct.md.
Read it; this file adds only what is specific to discovering and invoking the
skills already available.
The discipline this re-anchors
A skill listing is loaded into context so the model knows what is available:
every model-invocable skill's name (always) and its description (subject to
the listing budget), with the full body loading only when the skill is invoked
(Skills docs, fetched 2026-08-10).
The listing covers only what the MODEL can reach, a skill set to
disable-model-invocation: true is manual-only: its description is not in
the model's context and the model never auto-invokes it, so it surfaces only
when a user types /name (the inverse, user-invocable: false, stays in the
model's listing but is hidden from the / menu). This corrector therefore
audits only what the model could actually have reached: a model-visible
skill that sat in the listing and went unused, its procedure reinvented. Or
skipped. Instead of invoked. It does not fault the model for not
auto-firing a manual-only skill that was never in its listing. Over a long
session the listing loses salience the same way a standing rule does; this
re-anchors the habit of consulting it.
The discipline, at each of the three surfaces where skills apply:
- This conversation. Before doing multi-step or specialized work, scan the in-context listing for a skill that already owns it, and invoke that skill rather than improvising the procedure. A skill's description is written to say when it applies. Read it as a routing signal, not decoration.
- The current task. Map the task's shape to the skills that fit it. Often more than one across a task's phases (research, plan, implement, review), and invoke each at its moment rather than carrying the whole task by hand.
- Delegated (subagent) work. A fresh non-fork subagent does not inherit
your skill listing. It discovers project, user, and plugin skills on disk
through the Skill tool during execution
(Subagents docs, fetched
2026-08-10). So name the relevant skills in the delegation prompt so the
subagent knows to reach for them. For a custom subagent that should always
carry a discipline, recommend its
skills:frontmatter, which preloads the full skill content into the subagent at startup (preload, not access. The Skill tool is already available to the subagent unless removed viatools/disallowedTools). One caveat, doc-confirmed:skills:can preload only a model-invocable skill; a skill set todisable-model-invocation: truecannot be preloaded (Claude Code skips it and logs a warning), because preloading draws from the same set the model can invoke. For a manual-only discipline, put its guidance in the prompt directly rather than expecting a preload. This is guidance, not a config change the skill performs.
What ships with it
1 file 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.
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 · 145 lines · 144 tokens per session scan A 3a34f32f40fd
use-your-skills is a skill published in the GitHub repository melodic-software/claude-code-plugins (14 stars, last pushed yesterday), licensed MIT. It adds 144 tokens to every session and 2,012 once invoked, about $0.0007 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 2026-09-03.
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