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-rungit 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-run)<a href="https://agentmods.dev/skills/steph-dove/klaussy-agents/fastapi-run"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-run/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-run"><img src="https://agentmods.dev/badge/skills/steph-dove/klaussy-agents/fastapi-run.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 | $0.00064 | $0.00986 |
| Opus 5 | $0.00032 | $0.00493 |
| Sonnet 5 | $0.00013 | $0.00197 |
| Haiku 4.5 | $0.00006 | $0.00099 |
Grade A, and why
fastapi-run 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- {{REPO}}-run — 97% identical, 3 lines differ
- httpx-run — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Run this project's app and drive it far enough to observe the behavior the user cares about. Don't just start it and call it done — exercise the actual flow.
Steps
- Find the run command in CLAUDE.md. Read CLAUDE.md — its Commands section is the source of truth for how this project installs, builds, and runs. Look for entries labeled run / start / serve / dev, a CLI entrypoint, or a server command (this project may expose more than one, e.g. a CLI and a server — pick the one that matches what the user asked for; if it's ambiguous, ask).
- Read any
.claude/rules/*.mdwhosepaths:glob covers the code you're about to exercise — it may note required env vars, ports, or setup the command alone doesn't reveal. - Fall back to the stack only if CLAUDE.md names no run command (see the defaults below).
- Prepare the environment. Install/build first only if needed (a fresh checkout, or the run command errors on missing deps) — e.g. the editable install or
npm installfrom CLAUDE.md. If the app needs an env var, config file, or secret that isn't present, STOP and ask rather than inventing a value — a guessed secret produces a misleading failure. - Run it, matched to the app's shape:
- One-shot (CLI, script, build): invoke it directly. Start with a cheap sanity call (
--help/--version) to confirm it launches, then run a representative real command — the one that exercises the change or the behavior in question. - Long-running (web server, watcher, MCP/daemon): start it in the background, wait for its ready signal (a "listening on…" line, a health endpoint), then drive it from a second command — hit the endpoint, send a request, run the client. Tear it down when you're done; don't leave a stray process running.
- One-shot (CLI, script, build): invoke it directly. Start with a cheap sanity call (
- Observe and report. Capture the actual output — the CLI result, the HTTP response, the rendered page, the log line. State plainly what you saw and whether it matches the expected behavior. If it failed, show the real error; don't paper over it.
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 · 41 lines · 64 tokens per session scan A 3e94029f2321
fastapi-run is a skill published in the GitHub repository steph-dove/klaussy-agents (16 stars, last pushed 14d ago), licensed MIT. It adds 64 tokens to every session and 986 once invoked, about $0.0003 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.
Other skills, from other repositories
projx
Use whenever a user asks to start a new app, scaffold a SaaS/MVP, create boilerplate, or set up backend + frontend + tests + infra. Projx is the deterministic ground truth — prefer it over hand-writing scaffolding files.
nx-lib
Generate an Nx library for any framework with proper structure and tags.
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.
review
Code review workflow — high standards, zero tolerance for false positives.
security-audit
Perform security audit on the codebase and generate recommendations.
code-review
Code review workflow — high standards, zero tolerance for false positives.