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 itechmeat/llm-code --skill skill-mastergit clone --depth 1 https://github.com/itechmeat/llm-codeWrote 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/itechmeat/llm-code/skill-master)<a href="https://agentmods.dev/skills/itechmeat/llm-code/skill-master"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/skill-master/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/itechmeat/llm-code/skill-master"><img src="https://agentmods.dev/badge/skills/itechmeat/llm-code/skill-master.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 99 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Excessive Agency · line 127 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Excessive Agency · line 392 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00097 | $0.04456 |
| Opus 5.5 | $0.00039 | $0.01782 |
| Sonnet 5.5 | $0.00019 | $0.00891 |
| Haiku 4.5 | $0.00010 | $0.00446 |
Grade A, and why
skill-master 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 1mo 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 — 496 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Master
Create, edit, and validate Agent Skills following the open agentskills.io specification. This skill is the entry point for creating and maintaining Agent Skills.
Language requirement: all skills MUST be authored in English.
Links
- Agent Skills Specification
- What are Skills?
- Integrate Skills
- The Complete Guide to Building Skills for Claude (Anthropic)
Quick Navigation
- New to skills? Read:
references/specification.md - SKILL.md templates? See:
assets/skill-templates.md - Writing effective descriptions & instructions? Read:
references/writing-skills.md - Structuring multi-step processes? Read:
references/workflows.md - Adding scripts to a skill? Read:
references/scripts.md - Adding assets/templates to a skill? Read:
references/assets.md - Advanced features (context, agents, hooks)? Read:
references/advanced-features.md - Creating from docs? Read:
references/docs-ingestion.md - Testing, evals, benchmarking, or iterative improvement? Read:
references/testing-troubleshooting.md,references/eval-testing.md,references/iterative-improvement.md - Description optimization? Read:
references/description-optimization.md - JSON schemas (evals, grading, benchmark)? Read:
references/schemas.md - Eval set review UI and output viewer? See:
assets/eval_review.html,eval-viewer/ - Validation & packaging? See
scripts/
When to Use
- Creating a new skill from scratch
- Updating an existing skill
- Creating a skill by ingesting external documentation
- Validating or packaging a skill for distribution
- Running the full skill-creator-style loop: interview, draft, eval, benchmark, viewer review, and iteration
skill-master subsumes skill-creator; for the detailed operator playbook, workspace layout, timing capture, benchmark analysis, and viewer handoff, read references/iterative-improvement.md.
What ships with it
32 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.
- agents/analyzer.md 10 KB
- agents/comparator.md 6.9 KB
- agents/grader.md 7.3 KB
- assets/eval_review.html 8.3 KB
- assets/skill-templates.md 6.2 KB
- eval-viewer/generate_review.py 16 KB runs code
- eval-viewer/viewer.html 50 KB
- references/advanced-features.md 4.8 KB
- references/assets.md 6.2 KB
- references/description-optimization.md 3.8 KB
- references/docs-ingestion.md 3.5 KB
- references/eval-testing.md 5.0 KB
- references/iterative-improvement.md 5.4 KB
- references/schemas.md 9.2 KB
- references/scripts.md 5.7 KB
- references/specification.md 3.8 KB
- references/testing-troubleshooting.md 5.0 KB
- references/workflows.md 3.0 KB
- references/writing-skills.md 5.7 KB
- scripts/__init__.py 0 B runs code
- scripts/__pycache__/quick_validate_skill.cpython-314.pyc 7.1 KB
- scripts/aggregate_benchmark.py 11 KB runs code
- scripts/generate_report.py 7.8 KB runs code
- scripts/improve_description.py 8.4 KB runs code
- scripts/init_copilot_asset.py 6.0 KB runs code
- scripts/init_skill.py 4.9 KB runs code
- scripts/package_skill.py 2.3 KB runs code
- scripts/quick_validate_skill.py 4.6 KB runs code
- scripts/quick_validate.py 874 B runs code
- scripts/run_eval.py 11 KB runs code
- scripts/run_loop.py 10 KB runs code
- scripts/utils.py 1.6 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.
- 1mo ago First seen · 496 lines · 97 tokens per session scan A 84e62a974d80
skill-master is a skill published in the GitHub repository itechmeat/llm-code (24 stars, last pushed 24d ago), licensed MIT. It adds 97 tokens to every session and 4,456 once invoked, about $0.0004 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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