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 product-on-purpose/agent-skills-toolkit --skill askit-build-skillgit 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/skills/product-on-purpose/agent-skills-toolkit/askit-build-skill)<a href="https://agentmods.dev/skills/product-on-purpose/agent-skills-toolkit/askit-build-skill"><img src="https://agentmods.dev/badge/skills/product-on-purpose/agent-skills-toolkit/askit-build-skill/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/product-on-purpose/agent-skills-toolkit/askit-build-skill"><img src="https://agentmods.dev/badge/skills/product-on-purpose/agent-skills-toolkit/askit-build-skill.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 | $0.00049 | $0.01467 |
| Opus 5 | $0.00024 | $0.00733 |
| Sonnet 5 | $0.00010 | $0.00293 |
| Haiku 4.5 | $0.00005 | $0.00147 |
Grade A, and why
askit-build-skill 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 10d 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 — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
askit-build-skill
Purpose
Author conformant skills. Two modes: create scaffolds a new skill that passes Bronze on first run; improve raises an existing skill toward the quality bar. Authoring depth is in references/authoring-guide.md.
When to use
When the user asks to create, scaffold, write, or improve a skill.
create mode
- Brief interview: ask for the skill name (kebab-case), what it does, when to use it, and a few trigger keywords. Skip the interview if these inputs are already provided in context.
- Delegate the drafting to the
askit-skill-authorsubagent (the declared chain) when running in a harness that can dispatch it; otherwise perform the steps below inline. Either way the procedure is the same: createskills/<name>/and copytemplates/SKILL.mdintoskills/<name>/SKILL.md. - Fill the frontmatter:
nameequal to the directory, and adescriptionthat states what AND when with concrete keywords (see references/authoring-guide.md for the bar). - Scaffold
references/if the skill needs depth. Samples inexamples/are optional at Bronze - add them only if useful. Do not assume the surrounding plugin anatomy exists - this skill works a la carte. - Emit native manifests for the declared targets: set
agent-targetsin the plugin'slibrary.json(for example["claude", "codex"]), then runnode scripts/generators/gen-manifest.mjs <plugin-root> --write --target=all. To emit for one agent only, pass--target=claudeor--target=codex. The plugin'slibrary.jsonagent-targets(not a CLI flag) declares which targets it requires;gen-manifestwrites.claude-plugin/plugin.jsonand/or.codex-plugin/plugin.jsonfromlibrary.json. - Assess the new skill with
node scripts/evaluate.mjs skills/<name> --json(this is what theaskit-evaluateskill runs), report the result, and iterate until it passes with 0 errors.
improve mode
- Run
node scripts/evaluate.mjs <skill> --jsonand read the report. As in create mode, the rewrite work itself may be delegated toaskit-skill-authoror done inline; the steps below are the procedure either way. - For each finding: a samples warn -> add representative examples; a low description score (U5) -> rewrite the description to clear the bar; an over-budget warning (U7) -> move depth into
references/. For any other finding, read its message and apply the fix it states. - Re-run evaluate to confirm the findings are resolved. That closes phase 1 (conformance).
What ships with it
9 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.
- evals/askit-build-skill-triggering.eval.json 2.5 KB
- evals/README.md 361 B
- examples/anti-vague-description.md 9.5 KB
- examples/golden-1-conventional-commit.md 6.2 KB
- examples/golden-2-incident-postmortem.md 12 KB
- examples/golden-3-dependency-audit.md 12 KB
- README.md 669 B
- references/authoring-guide.md 13 KB
- references/skill-craft-rubric.md 8.1 KB
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.
- 10d ago First seen · 46 lines · 49 tokens per session scan A b174ceb8f1aa
askit-build-skill is a skill published in the GitHub repository product-on-purpose/agent-skills-toolkit (2 stars, last pushed today), licensed Apache-2.0. It adds 49 tokens to every session and 1,467 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 skills, from other repositories
modelchk
Size a task's run before spending it: the cheapest sufficient capability tier (fast, standard, frontier) and the reasoning effort within it, on a neutral scale that binds to whatever levels the model exposes. Use when work seems over- or under-powered, costly, ambiguous, or high-risk, or asks which model class and how…
autobahn
Carve guardrail-adjacent items out of scope with safe alternatives before risk-adjacent work starts, then run the safe remainder at full strength in a fresh subagent that only ever sees the carved prompt, never the risky input. Use when a task includes stealth, scraping, privacy, IP, policy, licensing, security, or…
re0-release
Walk a pending change through this repo's shipping and releasing checklist end to end, then tag and publish once confirmed. User-invoked: run it when you've decided to ship.
ssotize
Audit and consolidate a fact that's scattered across places into one canonical source, after approval, and replace the rest with references. Use when asked to find duplication, check consistency, locate the source of truth, deduplicate, consolidate, unify, or establish SSOT across artifacts or platforms. Starts…
re0-plan
Open a paperthin iteration's casebook before re0-loop's first turn — seeded with real content the moment the folder exists, never an empty directory. User-invoked, paperthin-only: assumes the full skill package installed. Run when opening a new build cycle in this repo.
feynman
Press a decision you just made until you can explain it to a skeptic in your own words, or surface the gap where you can't. The Feynman test aimed at a choice: understanding is cheapest to fake the moment after you decide, so a fresh critic presses for what you can't actually explain. Use right after picking an…