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/1aifanatic/super-computer/skill-authornpx skills add 1aifanatic/super-computer --skill skill-authorgit clone --depth 1 https://github.com/1aifanatic/super-computerWrote 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/1aifanatic/super-computer/skill-author)<a href="https://agentmods.dev/skills/1aifanatic/super-computer/skill-author"><img src="https://agentmods.dev/badge/skills/1aifanatic/super-computer/skill-author.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 | $0.00045 | $0.00571 |
| Opus 5 | $0.00023 | $0.00285 |
| Sonnet 5 | $0.00009 | $0.00114 |
| Haiku 4.5 | $0.00005 | $0.00057 |
Grade A, and why
skill-author 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 3d 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Writing a Skill
A Skill is a folder containing SKILL.md: YAML frontmatter with name and description, then a markdown body. This file is itself an example — read it as the reference.
The frontmatter carries the weight
---
name: kebab-case-name
description: What this does, and specifically when to use it.
---
Only name and description sit in the model's context at all times. The body loads only when the Skill is chosen. So the description is the entire selection mechanism — it is not a summary, it is a trigger.
Write descriptions that say when, not just what:
- Weak: "Helps with databases."
- Strong: "Query, reshape and validate JSON with jq. Use for API responses, config files, package manifests and log lines."
The weak one never gets picked, because nothing in a real request looks like it.
The body is instructions, not documentation
Write to the model that will execute it, in the imperative. Give it an order of operations, concrete commands, and the traps. Skip motivation and background — it has already been chosen by the time the body loads.
Good bodies contain:
- A short procedure, numbered, in the order it should happen.
- Real commands that work in this Workspace.
- The failure modes and what to do instead.
- An explicit statement of what the Skill cannot do.
Know the Workspace's limits
Available: ls, cat, grep, sed, awk, find, sort, wc, head, tail, cut, tr, diff, jq, pipes, redirects, loops and conditionals — plus real git (clone, status, diff, add, commit, log, branch, checkout; HTTPS only, no SSH).
Not available: node, npm, python, sqlite3, or any other native binary. A Skill whose procedure depends on running a build or a test suite cannot work here — do not write one, and say so if asked.
Keep it short
A Skill body is loaded into a live context window and paid for in tokens. Two hundred well-chosen lines beat a thousand thorough ones. If it is growing past that, it is probably two Skills.
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.
- 3d ago First seen · 52 lines · 45 tokens per session scan A 2e814e263826
skill-author is a skill published in the GitHub repository 1aifanatic/super-computer (2 stars, last pushed 22d ago), licensed MIT. It adds 45 tokens to every session and 571 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 2026-08-31.
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