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 KaimingWan/oh-my-kiro --skill omk-knowgit clone --depth 1 https://github.com/KaimingWan/oh-my-kiroWrote 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/kaimingwan/oh-my-kiro/omk-know)<a href="https://agentmods.dev/skills/kaimingwan/oh-my-kiro/omk-know"><img src="https://agentmods.dev/badge/skills/kaimingwan/oh-my-kiro/omk-know/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/kaimingwan/oh-my-kiro/omk-know"><img src="https://agentmods.dev/badge/skills/kaimingwan/oh-my-kiro/omk-know.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 | $0.00047 | $0.00338 |
| Opus 5 | $0.00023 | $0.00169 |
| Sonnet 5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
omk-know 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 11d 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
Trigger Examples
- "@know macOS stat 用 -f 不用 -c"
- "记一下这个坑"
- "capture this lesson"
- "note: this API requires auth header"
- "@know HubSpot API 有 rate limit 100/10s"
Know — Knowledge Capture
Read the current conversation and capture an insight into knowledge/episodes.md.
Input
$ARGUMENTS
Process
- If no input provided, ask user: "What insight should I capture?"
- Extract: trigger scenario + DO/DON'T action + keywords
- Check dedup: grep -iw keywords in knowledge/rules.md and knowledge/episodes.md
- Already in rules → tell user, skip
- Already in episodes → tell user count, suggest promotion if ≥3
- Format:
DATE | active | KEYWORDS | SUMMARY(≤80 chars, no | in summary) - Append to knowledge/episodes.md
- Output: 📝 Captured → episodes.md: 'SUMMARY'
Rules
- Summary must contain actionable DO/DON'T, not narrative
- Keywords: 1-3 english technical terms, ≥4 chars each, comma-separated
- If episodes.md has ≥30 entries, warn user to clean up first
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.
- 11d ago First seen · 36 lines · 47 tokens per session scan A 32b5de714571
omk-know is a skill published in the GitHub repository KaimingWan/oh-my-kiro (103 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 338 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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