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 steph-dove/klaussy-agents --skill fastapi-rest-of-the-owlgit clone --depth 1 https://github.com/steph-dove/klaussy-agentsWrote 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/steph-dove/klaussy-agents/fastapi-rest-of-the-owl)<a href="https://agentmods.dev/skills/steph-dove/klaussy-agents/fastapi-rest-of-the-owl"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-rest-of-the-owl/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/steph-dove/klaussy-agents/fastapi-rest-of-the-owl"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-rest-of-the-owl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 61 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00087 | $0.01953 |
| Opus 5 | $0.00044 | $0.00977 |
| Sonnet 5 | $0.00017 | $0.00391 |
| Haiku 4.5 | $0.00009 | $0.00195 |
Grade A, and why
fastapi-rest-of-the-owl 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- httpx-rest-of-the-owl — 92% identical, 22 lines differ
- {{REPO}}-rest-of-the-owl — 86% identical, 59 lines differ
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task
$ARGUMENTS
If $ARGUMENTS is empty, use the task definition the user pasted into the conversation (a ticket, a design note, a one-line ask). If there is none, stop and ask for one — this skill needs a target.
The bit
How to draw an owl: (1) draw two circles. (2) draw the rest of the owl. The user just handed you the two circles — a task definition. This skill draws the rest of the owl: the whole lifecycle from "here's what I want" to "here's a green, reviewed PR waiting for your merge." It is a genuine end-to-end run, not a gag — but it earns the name by doing the enormous unglamorous middle the meme skips over.
It does everything except merge. The merge button stays with the human. Never merge, never force-push over someone else's work, never mark the PR ready-to-merge on the user's behalf.
How this skill works
You orchestrate the repo's other skills as a pipeline. Each phase below names the sibling skill whose playbook you follow — open that skill's SKILL.md and run its steps, then come back here for the next phase. Track the whole run with TodoWrite: one todo per phase, in_progress when you start it, completed when it's done. The flow is long and mostly unattended; the todo list is how the user follows along.
Stop and hand back to the user (do not barrel ahead) if any phase hits something a human must decide: a missing secret or env var, an ambiguous requirement the task definition doesn't settle, a destructive migration, or a test failure that looks like a real bug in existing code rather than in your change.
Phase 1 — Plan
Follow fastapi-plan (or fastapi-implement's lighter planning phase for a small, single-surface task). Produce a concrete build sequence. If the task definition leaves a real ambiguity, ask now — a wrong assumption here costs the whole owl.
Phase 2 — Implement
Follow fastapi-implement. Work the plan in small batches, keeping the suite green as you go. For a bug fix, write the failing test first. Do not scope-creep beyond the task definition.
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 · 95 lines · 87 tokens per session scan A d7afe40fd059
fastapi-rest-of-the-owl is a skill published in the GitHub repository steph-dove/klaussy-agents (16 stars, last pushed 15d ago), licensed MIT. It adds 87 tokens to every session and 1,953 once invoked, about $0.0004 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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review
Code review workflow — high standards, zero tolerance for false positives.
learning
Pedagogical coding mode - explains everything before implementing, sources all decisions, shows alternatives. Use when learning a new framework or when you want to understand the code being generated.
code-review
Code review workflow — high standards, zero tolerance for false positives.
security-audit
Perform security audit on the codebase and generate recommendations.