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 agentmods add skills/muratsilahtaroglu/claude-code-starter-kit/keel-pilotnpx skills add muratsilahtaroglu/claude-code-starter-kit --skill keel-pilotgit clone --depth 1 https://github.com/muratsilahtaroglu/claude-code-starter-kitWrote 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/muratsilahtaroglu/claude-code-starter-kit/keel-pilot)<a href="https://agentmods.dev/skills/muratsilahtaroglu/claude-code-starter-kit/keel-pilot"><img src="https://agentmods.dev/badge/skills/muratsilahtaroglu/claude-code-starter-kit/keel-pilot.svg" alt="Measured on agentmods" 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 | $0.00057 | $0.01153 |
| Opus 5 | $0.00028 | $0.00576 |
| Sonnet 5 | $0.00011 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
keel-pilot 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 6d 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 — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/keel-pilot — never run a big batch blind
Use when a task will produce many outputs whose quality cannot be eyeballed one by one — mass
labeling/classification, bulk generation, large migrations/transforms (heuristic: >100 items, or any
unattended run). The failure this kills: pipelines verified "sometimes, by mood" — quality problems
discovered after 5,000 items, or never. The sequence below is the published norm, not an invention
(Anthropic best-practices fan-out, Pangakis et al. 2023, SRE canarying, Write-Audit-Publish);
evidence trail with sources: research/*/findings.md (2026-07-16).
Five gates, in order. A gate must PASS before the next opens — report each as pass/fail.
Gate 0 — DECLARE (before anything runs)
Write into the task (TASKS.md done-when: or a short pilot plan next to the runner):
- acceptance metrics — e.g. per-class precision/recall vs a gold set; schema-validity %;
- halt thresholds for the full run — e.g. >5% schema-invalid, or error rate >2× the pilot's, in any rolling 100-item window → HALT;
- sample plan — smoke size (10–50) · gold set (250+ human-labeled items when label quality is load-bearing; smaller only with the user's explicit OK) · honeypot rate (5–10%) · acceptance sample by the rule of three (0 errors in 60 ⇒ <5% true error rate, in 300 ⇒ <1%, at 95%). Thresholds chosen AFTER seeing outputs are not thresholds. Defaults above are the literature's — adjust per project, with the user.
Gate 1 — SMOKE (10–50 items)
Run the pipeline end-to-end on 10–50 representative items, edge cases included. Human eyeball + mechanical schema check (fields present, types right, label ∈ allowed set). Any surprise → fix, re-smoke. Never skip to Gate 3 because "the code looks right".
Gate 2 — VALIDATE (against ground truth)
Run on the gold set; compare per class (aggregate accuracy hides minority-class failure —
median GPT-4 accuracy across 27 real tasks was 0.850 while a third of tasks had precision or recall
below 0.5). Agreement bar: Krippendorff α ≥ 0.800 to rely on labels; 0.667–0.800 supports only
tentative conclusions. Below bar → revise prompt/config and re-run THIS gate. Record the passing
numbers in reports/ (dated) — they are the baseline the circuit breaker compares against.
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.
- 6d ago First seen · 66 lines · 57 tokens per session scan A 840ef806ae1d
keel-pilot is a skill published in the GitHub repository muratsilahtaroglu/claude-code-starter-kit (9 stars, last pushed 2d ago), licensed MIT. It adds 57 tokens to every session and 1,153 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 2026-08-31.
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