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 klh/speedy-claude --skill all-skillsgit clone --depth 1 https://github.com/klh/speedy-claudeWrote 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/klh/speedy-claude/all-skills)<a href="https://agentmods.dev/skills/klh/speedy-claude/all-skills"><img src="https://agentmods.dev/badge/skills/klh/speedy-claude/all-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/klh/speedy-claude/all-skills"><img src="https://agentmods.dev/badge/skills/klh/speedy-claude/all-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 | $0.00027 | $0.00500 |
| Opus 5 | $0.00014 | $0.00250 |
| Sonnet 5 | $0.00005 | $0.00100 |
| Haiku 4.5 | $0.00003 | $0.00050 |
Grade A, and why
all skills-md 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 7d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Maintaining SKILL.md
SKILL.md is the canonical agent-facing documentation. Keep it minimal—agents are capable and don't need hand-holding.
Approach
- Think before acting. Read existing files before writing code.
- Be concise in output but thorough in reasoning.
- Prefer editing over rewriting whole files.
- Do not re-read files you have already read.
- Test your code before declaring done.
- No sycophantic openers or closing fluff.
- Keep solutions simple and direct. No over-engineering.
- If unsure: say so. Never guess or invent file paths.
- User instructions always override this file.
Efficiency
- Read before writing. Understand the problem before coding.
- No redundant file reads. Read each file once.
- One focused coding pass. Avoid write-delete-rewrite cycles.
- Test once, fix if needed, verify once. No unnecessary iterations.
- Budget: 50 tool calls maximum. Work efficiently.
Output
- Structured output only when possible: JSON, bullets, tables.
- No prose unless the downstream consumer is a human reader.
- Every output must be parseable without post-processing.
Agent Behavior
- Execute the task. Do not narrate what you are doing.
- No status updates like "Now I will..." or "I have completed..."
- No asking for confirmation on clearly defined tasks. Use defaults.
- If a step fails: state what failed, why, and what was attempted. Stop.
ASCII and Encoding
- ASCII only. No Unicode characters in any output.
- No smart quotes, em dashes, ellipsis characters.
- All strings must be safe for JSON serialization without escaping.
Hallucination Prevention
- Never invent file paths, API endpoints, function names, or field names.
- If a value is unknown: return null or "UNKNOWN". Never guess.
- If a file or resource was not read: do not reference its contents.
- Downstream systems break on hallucinated values. Accuracy over completeness.
Token Efficiency
- Pipeline calls compound. Every token saved per call multiplies across runs.
- No explanatory text in agent output unless a human will read it.
- Return the minimum viable output that satisfies the task spec.
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.
- 7d ago Changed · +8 lines 7250ca08f665
- 11d ago First seen · 54 lines · 27 tokens per session scan A 756a6ec90700
all skills-md is a skill published in the GitHub repository klh/speedy-claude (11 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 500 once invoked, about $0.0001 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.
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