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/eai-org/agent-toolkit/compact-skill-creatornpx skills add eai-org/agent-toolkit --skill compact-skill-creatorgit clone --depth 1 https://github.com/eai-org/agent-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/eai-org/agent-toolkit/compact-skill-creator)<a href="https://agentmods.dev/skills/eai-org/agent-toolkit/compact-skill-creator"><img src="https://agentmods.dev/badge/skills/eai-org/agent-toolkit/compact-skill-creator.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 | $0.00034 | $0.02315 |
| Opus 5 | $0.00017 | $0.01157 |
| Sonnet 5 | $0.00007 | $0.00463 |
| Haiku 4.5 | $0.00003 | $0.00231 |
Grade A, and why
compact-skill-creator 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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compact skill creator
Author a new skill, or improve an existing one, so it carries all its rules and intent in the
least text possible. Cost has two tiers: the description sits in context every session — the
skill's most expensive text — while the body loads only when the skill triggers. Both stay lean. Be
interactive: gather what you need, draft, then apply only on approval.
Compaction — always via compact-docs-writer
The compaction rules — the least-text principle, the removal-audit verification, and the present-and-confirm with a measured word delta — live in compact-docs-writer, the single source of truth; this skill never restates or re-derives them. From the moment you draft (step 4) through self-review (step 5) and present (step 6), always invoke compact-docs-writer and follow its workflow on the skill text — reading it, applying its principles by hand, or naming it after a direct edit does not count. This skill adds only the skill-specific layer: trigger taxonomy, agnosticism, progressive disclosure, completion criteria, metadata, and the version-bump decision.
Trigger taxonomy — classify first
How a skill is triggered decides how its description is written. Classify into one:
- Mandatory — must auto-load whenever a task type is touched (e.g. "working on UI components", "dealing with unit tests"). A silent miss defeats its purpose, so the description spends words on a strict, concrete trigger: concrete verbs + the artifact ("when creating, editing, or reviewing …").
- Manual — invoked by name: a
/command, or sibling skills/rules that reference it explicitly. The by-name reference does all the routing, so trigger wording buys nothing: the description is one short line of what the skill does — enough for a human choosing from a list — never a body summary, never a "load when …" clause. When the skill format can block model invocation (e.g. adisable-model-invocationflag), set it for Manual skills nothing invokes programmatically — the description then costs no standing context; pair the flag withtype: flow— some agents hide flag-bearing skills even from manual invocation without it. When sibling skills must drive this one, keep it model-invocable and mark it "invoke manually only" in the description instead. - Self-Evident — auto-loadable, but intent is obvious from a natural request (e.g. "fetch a ticket"). Trigger words ≈ the task name, so a short description routes correctly without a when/when-not clause.
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.
- 4d ago First seen · 155 lines · 34 tokens per session scan A 02bd9ac667ef
compact-skill-creator is a skill published in the GitHub repository eai-org/agent-toolkit (43 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 2,315 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 2026-08-30.
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