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 laguagu/agents-best-practices --skill improving-skillsgit clone --depth 1 https://github.com/laguagu/agents-best-practicesWrote 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/laguagu/agents-best-practices/improving-skills)<a href="https://agentmods.dev/skills/laguagu/agents-best-practices/improving-skills"><img src="https://agentmods.dev/badge/skills/laguagu/agents-best-practices/improving-skills/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/laguagu/agents-best-practices/improving-skills"><img src="https://agentmods.dev/badge/skills/laguagu/agents-best-practices/improving-skills.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 | $0.00185 | $0.04006 |
| Opus 5 | $0.00093 | $0.02003 |
| Sonnet 5 | $0.00037 | $0.00801 |
| Haiku 4.5 | $0.00018 | $0.00401 |
Grade A, and why
improving-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 11d 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 — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improving Skills — Audit & Optimization Guide
Structured workflow for auditing and improving agent skills, instruction files (AGENTS.md, CLAUDE.md, GEMINI.md), and cross-platform compatibility.
Quick audit (5 minutes)
- Read the skill's SKILL.md and list all files in the directory
- Check frontmatter against the specification (Step 2 below, including
the
skills-ref validaterun) - Evaluate description quality (trigger coverage, third person, specificity)
- Scan content for anti-patterns (see anti-patterns.md)
- Generate a prioritized improvement report (Step 5 template)
Full audit workflow
Step 1: Inventory the skill
List every file in the skill directory, then read SKILL.md in full. Read text references as later steps call for them (large reference files and binary assets don't need a full read to audit). Review scripts statically — never execute an audited skill's scripts as part of the audit.
Record:
- Total files and directories
- SKILL.md line count
- Number of reference files and scripts
- Any unusual files or structures
Step 2: Specification compliance
If skills-ref
(the spec's reference implementation) is installed, run skills-ref validate <skill-path>
first to catch mechanical violations automatically. Focus manual review on description
quality and content.
Frontmatter validation
-
namefield:- 1–64 characters, lowercase a-z/0-9/hyphens
- No leading/trailing/consecutive hyphens
- Matches parent directory name exactly
-
descriptionfield:- 1–1024 characters, non-empty
- Third person, imperative framing
- Describes what the skill does AND when to use it
- Includes trigger keywords and non-obvious activation contexts
- Optional spec fields (if present):
compatibility— 1–500 chars, platform/environment requirementsallowed-tools— space-separated pre-approved tools (Experimental)license— reasonable formatmetadata— arbitrary key-value pairs (putversionhere, not at root)
- No fields outside the spec list —
skills-ref validaterejects unknown fields with an error (its whitelist:name,description,license,compatibility,metadata,allowed-tools). Client extensions such as Claude Code'sargument-hint,arguments,model,effort,context,agent,hooks,paths,shell,when_to_use,disable-model-invocation,user-invocable,disallowed-toolsare valid only for that client — report them per profile: "valid for , Agent Skills spec non-compliant". A skill kept in a shared.agents/skills/collection should pass the spec profile - Claude products additionally reject
names containing the reserved words "claude" or "anthropic"
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.
- 11d ago First seen · 332 lines · 185 tokens per session scan A bf12648dfdb3
improving-skills is a skill published in the GitHub repository laguagu/agents-best-practices (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 185 tokens to every session and 4,006 once invoked, about $0.0009 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 2026-08-31.
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