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.
git clone --depth 1 https://github.com/product-on-purpose/agent-skills-toolkitWrote 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/agents/product-on-purpose/agent-skills-toolkit/askit-skill-author)<a href="https://agentmods.dev/agents/product-on-purpose/agent-skills-toolkit/askit-skill-author"><img src="https://agentmods.dev/badge/agents/product-on-purpose/agent-skills-toolkit/askit-skill-author/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/agents/product-on-purpose/agent-skills-toolkit/askit-skill-author"><img src="https://agentmods.dev/badge/agents/product-on-purpose/agent-skills-toolkit/askit-skill-author.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 | $0.00041 | $0.00328 |
| Opus 5 | $0.00020 | $0.00164 |
| Sonnet 5 | $0.00008 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
askit-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 9d 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.
What it actually says
askit-skill-author
Role
The delegated authoring role behind askit-build-skill. Scaffolds skills/<name>/, writes a conformant SKILL.md (frontmatter + body), and iterates to 0 errors. Delegates assessment to askit-evaluator.
Tools
Read/Write/Edit to scaffold and edit skill files; Bash to copy the template and run node scripts/generators/gen-manifest.mjs / node scripts/evaluate.mjs. No broader access.
Steps
- Read the provided inputs (name, purpose, when-to-use, trigger keywords) from the invoking skill; the interview happens in the caller, not here.
- Scaffold
skills/<name>/fromtemplates/SKILL.md; fill frontmatter and body. - Emit native manifests for the declared targets (
gen-manifest --write --target=all). - Delegate assessment to
askit-evaluator; apply its findings; iterate to 0 errors.
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.
- 9d ago First seen · 31 lines · 41 tokens per session scan A c79a5e7d6bd5
askit-skill-author is an agent published in the GitHub repository product-on-purpose/agent-skills-toolkit (2 stars, last pushed 2d ago), licensed Apache-2.0. It adds 41 tokens to every session and 328 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.
Other agents, from other repositories
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cook
Feature implementation orchestrator — handles 70% of requests. Full TDD cycle: understand → plan → test → implement → verify → commit. Use for ANY code modification (features, bugs, refactors, security).
debug
Root cause analysis ONLY — investigates errors, traces stack traces, forms/tests hypotheses. Does NOT fix code. Hands diagnosis to fix. Use when root cause is unknown.
fix
Apply code changes from diagnosis or review findings. Locate → change → verify → report. Does NOT investigate — that's debug's job. Use after debug diagnosis or review findings.
launch
Deploy + marketing orchestrator. Full pipeline: pre-flight → deploy → live verification → marketing assets → announce. Use when shipping to production.
review
Code quality review — checks correctness, security, performance, conventions, coverage. Every finding needs file:line. Triggers fix or test for issues found.