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 samuelgudi/iknowkungfu --skill iknowkungfu-contributiongit clone --depth 1 https://github.com/samuelgudi/iknowkungfuWrote 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/samuelgudi/iknowkungfu/iknowkungfu-contribution)<a href="https://agentmods.dev/skills/samuelgudi/iknowkungfu/iknowkungfu-contribution"><img src="https://agentmods.dev/badge/skills/samuelgudi/iknowkungfu/iknowkungfu-contribution/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/samuelgudi/iknowkungfu/iknowkungfu-contribution"><img src="https://agentmods.dev/badge/skills/samuelgudi/iknowkungfu/iknowkungfu-contribution.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 | $0.00048 | $0.01079 |
| Opus 5 | $0.00024 | $0.00540 |
| Sonnet 5 | $0.00010 | $0.00216 |
| Haiku 4.5 | $0.00005 | $0.00108 |
Grade A, and why
iknowkungfu-contribution 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 12d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
I Know Kung Fu — contribution
Use this skill when the user wants to contribute to the I Know Kung Fu registry — submit a new skill, update an existing one, propose an improvement, deprecate, or yank a compromised version.
When to use
- The user says: "I want to publish this skill", "submit my skill", "open a PR to the registry", "improve this skill", "deprecate X", "yank X".
Prerequisites — verify before running anything
Cryptic subprocess errors downstream almost always trace back to one of these being missing. Check them first:
ghCLI installed and authenticated.kfu initcallsgh api;kfu submitcallsgh pr create. Verify withgh auth status. If not authenticated:gh auth login.gitconfigured withuser.nameanduser.email.- A fork of
samuelgudi/iknowkungfuon the user's GitHub account, cloned locally — not the upstream. The user does not have write access to upstream;kfu submitpushes to your fork'soriginand opens a cross-fork PR. If the user has cloned upstream by mistake, either re-clone the fork or rungh repo fork --remote --cloneto add the fork and retargetorigin.
Do not let kfu submit fail through one of these — diagnose and fix first.
Submission flow
kfu init <local-dir> # scaffold meta.json from SKILL.md frontmatter
kfu submit <local-dir> # validate → sanitize → scan → REVIEW.md → push → gh pr create
kfu submit produces three required artifacts in the PR: a filled REVIEW.md, a SANITIZATION.diff, and a clean scan_results.json. CI rejects the PR if any are missing or fail.
REVIEW.md — six required sections
- What does it do? — one or two sentences.
- What does it access? — every network endpoint, filesystem path, env var, and process spawned. Mandatory for
has_scripts: true. - Worst case if compromised? — concrete attacker impact if
scripts/were replaced with malicious code. - Why is this useful? — one paragraph, including a gap-check against existing skills.
- Test evidence — real command output (not "would print X"). Mandatory for
has_scripts: true. - What changed? — required for updates only; leave blank on first-version submissions.
What ships with it
1 file 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.
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.
- 12d ago First seen · 69 lines · 48 tokens per session scan A 87f0e4b0bce2
iknowkungfu-contribution is a skill published in the GitHub repository samuelgudi/iknowkungfu (2 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 1,079 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.
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