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 naimkatiman/continuous-improvement --skill skillifygit clone --depth 1 https://github.com/naimkatiman/continuous-improvementWrote 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/naimkatiman/continuous-improvement/skillify)<a href="https://agentmods.dev/skills/naimkatiman/continuous-improvement/skillify"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/skillify/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/naimkatiman/continuous-improvement/skillify"><img src="https://agentmods.dev/badge/skills/naimkatiman/continuous-improvement/skillify.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 | $0.00019 | $0.00564 |
| Opus 5.5 | $0.00008 | $0.00226 |
| Sonnet 5.5 | $0.00004 | $0.00113 |
| Haiku 4.5 | $0.00002 | $0.00056 |
Grade A, and why
skillify 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 1mo 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.
This is a copy
91% identical to skillify — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skillify
Use this skill when the current session uncovered a repeatable workflow that should become a reusable OMC skill.
Goal
Capture a successful multi-step workflow as a concrete skill draft instead of rediscovering it later.
Quality Gate
Before extracting a skill, all three should be true:
- "Could someone Google this in 5 minutes?" → No.
- "Is this specific to this codebase, project, or workflow?" → Yes.
- "Did this take real debugging, design, or operational effort to discover?" → Yes.
Prefer skills that encode decision-making heuristics, constraints, pitfalls, and verification steps. Avoid generic snippets, boilerplate, or library usage examples that belong in normal documentation.
Workflow
- Identify the repeatable task the session accomplished.
- Extract:
- inputs
- ordered steps
- success criteria
- constraints / pitfalls
- verification evidence
- best target location for the skill
- Decide whether the workflow belongs as:
- a repo built-in skill
- a user/project learned skill
- documentation only
- When drafting a learned skill file, output a complete skill file that starts with YAML frontmatter.
- Never emit plain markdown-only skill files.
- Do not write plain markdown without frontmatter.
- Minimum frontmatter:
--- name: <skill-name> description: <one-line description> triggers: - <trigger-1> - <trigger-2> --- - Write learned/user/project skills to flat file-backed paths:
${CLAUDE_CONFIG_DIR:-~/.claude}/skills/omc-learned/<skill-name>.md.omc/skills/<skill-name>.md
- Remember that uncommitted skills are still worktree-local until committed or copied to a user-level directory.
- Draft the rest of the skill file with clear triggers, steps, success criteria, and pitfalls.
- Point out anything still too fuzzy to encode safely.
Rules
- Only capture workflows that are actually repeatable.
- Keep the skill practical and scoped.
- Prefer explicit success criteria over vague prose.
- If the workflow still has unresolved branching decisions, note them before drafting.
- Keep
omc-learnedas the storage directory name for compatibility; do not present it as the public invocation name.
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.
- 1mo ago Changed · -3 lines ef2a236c93af
- 1mo ago First seen · 70 lines · 19 tokens per session scan A 7360b1ab0453
skillify is a skill published in the GitHub repository naimkatiman/continuous-improvement (9 stars, last pushed 1mo ago), licensed MIT. It adds 19 tokens to every session and 564 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to skillify, differing in 0 lines, and is treated as a copy.
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