Borrowing it
Nothing to install: this file belongs to shep-ai/shep. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shep-ai/shep/main/.claude/skills/shep-kit-fast-loop/SKILL.mdgit clone --depth 1 https://github.com/shep-ai/shepWrote 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/shep-ai/shep/shep-kit-fast-loop)<a href="https://agentmods.dev/skills/shep-ai/shep/shep-kit-fast-loop"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-fast-loop/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/shep-ai/shep/shep-kit-fast-loop"><img src="https://agentmods.dev/badge/skills/shep-ai/shep/shep-kit-fast-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00079 | $0.00468 |
| Opus 5.5 | $0.00032 | $0.00187 |
| Sonnet 5.5 | $0.00016 | $0.00094 |
| Haiku 4.5 | $0.00008 | $0.00047 |
Grade A, and why
shep-kit:fast-loop 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 1mo 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
Fast Loop — Rapid Iteration Mode
Skip TDD, builds, and commits. Just edit code, let the dev server hot-reload, and iterate based on user feedback.
What This Overrides
This skill temporarily suspends these CLAUDE.md mandates for the duration of the session:
- TDD — no tests required during fast-loop
- Spec-driven — no spec required, user drives direction
- Storybook stories — not required during iteration
- Commit format — no commits until user says "done"
Rules
- Edit code only — no
pnpm test, nopnpm build, nogit commit - Small, focused changes — one thing at a time so the user can verify each step
- Trust the dev server — assume hot-reload picks up changes (Next.js, Vite, etc.)
- Wait for user feedback — after each change, pause and let the user check the result
- No over-engineering — do exactly what the user asks, nothing more
- When user says "done" — remind them to run
pnpm validateand tests before committing
Flow
User describes change → Edit files → User checks dev server → Repeat
Exit
When the user is satisfied, suggest:
pnpm validate # lint + format + typecheck
pnpm test:unit # catch regressions
Then offer /shep-kit:commit-pr or /commit to wrap up.
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.
- 1mo ago First seen · 50 lines · 79 tokens per session scan A 9fd1b8ac6423
shep-kit:fast-loop is a skill published in the GitHub repository shep-ai/shep (267 stars, last pushed yesterday), licensed MIT. It adds 79 tokens to every session and 468 once invoked, about $0.0003 per session on Opus 5.5. 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
nft-standards
Implement NFT standards (ERC-721, ERC-1155) with proper metadata handling, minting strategies, and marketplace integration. Use when creating NFT contracts, building NFT marketplaces, or implementing digital asset systems.
linkerd-patterns
Implement Linkerd service mesh patterns for lightweight, security-focused service mesh deployments. Use when setting up Linkerd, configuring traffic policies, or implementing zero-trust networking with minimal overhead.
postgresql-table-design
Use this skill when designing or reviewing a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features.
spark-training-gotchas
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
parallel-feature-development
Coordinate parallel feature development with file ownership strategies, conflict avoidance rules, and integration patterns for multi-agent implementation. Use this skill when decomposing a large feature into independent work streams, when two or more agents need to implement different layers of the same system…
kpi-dashboard-design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a…