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 commands/ishandutta2007/awesome-agent-skills/specgit clone --depth 1 https://github.com/ishandutta2007/Awesome-Agent-SkillsWhat 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 | $0.00012 | $0.00131 |
| Opus 5 | $0.00006 | $0.00066 |
| Sonnet 5 | $0.00002 | $0.00026 |
| Haiku 4.5 | $0.00001 | $0.00013 |
Grade A, and why
spec 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 yesterday.
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.
This is a copy
100% identical to spec — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Invoke the agent-skills:spec-driven-development skill.
Begin by understanding what the user wants to build. Ask clarifying questions about:
- The objective and target users
- Core features and acceptance criteria
- Tech stack preferences and constraints
- Known boundaries (what to always do, ask first about, and never do)
Then generate a structured spec covering all six core areas: objective, commands, project structure, code style, testing strategy, and boundaries.
Save the spec as SPEC.md in the project root and confirm with the user before proceeding.
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.
- yesterday First seen · 16 lines · 12 tokens per session scan A ac359a9ad030
spec is a command published in the GitHub repository ishandutta2007/Awesome-Agent-Skills (20 stars, last pushed 22d ago), licensed MIT. It adds 12 tokens to every session and 131 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to spec, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
screen-usecase
筛选、验证并撰写 OpenClaw 用例。输入来源 URL 或描述，输出适配评估或完整用例 PR。.
code-review
Code review — local uncommitted changes or GitHub PR (pass PR number/URL for PR mode).
docs-fe
Generate a concise FE handoff doc for changed endpoints — branch, APIs, request/response contracts, search params, error codes.
coding-level
Set Claude's coding explanation level for this session/project (-1=Default → 5=God Mode).
brainstorm
Explore and debate solutions before writing code — scout codebase, ask clarifying questions, research options, and produce a structured decision report. Ends with → /ck:plan (implement) or /ck:journal (archive). No code is written.
cook
Implement a plan phase by phase. Cook never writes or runs tests; every phase requires an APPROVED ck:quality gate before completion. Modes: --fast or --hard. Flag: --tdd. --json selects the phased master plan.json; --plan selects a Markdown plan.md.