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/codeaholicguy/ai-devkit/dev-requirementsnpx skills add codeaholicguy/ai-devkit --skill dev-requirementsgit clone --depth 1 https://github.com/codeaholicguy/ai-devkitWhat 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 | $0.00052 | $0.00929 |
| Opus 5 | $0.00026 | $0.00464 |
| Sonnet 5 | $0.00010 | $0.00186 |
| Haiku 4.5 | $0.00005 | $0.00093 |
Grade A, and why
dev-requirements 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dev Requirements
Run the requirements phases for configured AI docs features. Before making docs or code changes, propose the concrete plan for this phase and wait for user approval unless the user already approved the exact phase plan.
Phase Contract
- Run
npx ai-devkit@latest lintbefore phase work. - If working on a named feature, run
npx ai-devkit@latest lint --feature <name>. - If lint fails because project docs are not initialized, run
npx ai-devkit@latest init -a -e claude --built-in --yes, then rerun lint. - Read existing configured AI docs and keep diffs minimal. Do not assume
docs/ai; it is only the default docs directory. - Ask until every material product, UX, architecture, scope, validation, rollout, contradiction, trade-off, or open question is answered, explicitly deferred, or accepted as a named assumption.
- Ask one decision at a time, with why it matters, 2-3 viable options when useful, and a recommended answer.
- Do not create, update, approve, or transition past requirements while material open questions remain.
- Restate the shared understanding before updating docs or suggesting the next phase.
- If parent
dev-lifecycleestablished usable task tracing, emit requirements phase, clarification/progress, blocker/open-question, and next-step events pertask.
New Requirement
Use for Phase 1 or /new-requirement.
- Search AI DevKit memory for relevant past features or conventions with
npx ai-devkit@latest memory search --query "<feature/topic>". If unfamiliar, check thememoryskill first. - Clarify feature name in kebab-case, problem, target users, key user stories, scope, non-goals, success criteria, UX, constraints, rollout, and validation.
- Brainstorm alternatives to confirm this is the right thing to build. Present 2-3 approaches with one-line trade-offs and a recommendation.
- Store reusable answers after clarification.
- Use
dev-worktreeto create or resume the active feature workspace with normalized<name>. - Initialize docs with
npx ai-devkit@latest docs init-feature <name>from the active worktree/repository and fill the returned paths. Treat those returned paths as authoritative becausepaths.docsmay customize the docs directory. - Fill requirements doc: problem statement, goals/non-goals, user stories, success criteria, constraints, open questions.
- Fill design doc: architecture with mermaid diagram, data models, APIs, components, design decisions, security/performance.
- Fill testing doc: derive scenarios from requirements success criteria and design components/edge cases as
- [ ]checkboxes, plus mocks/fixtures and coverage target. - If task tracing is available, record draft progress and next review step per
task. - Use
dev-planningto create the initial task plan from the requirements, design, and testing docs.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 56 lines · 52 tokens per session scan A a6eb725b981d
dev-requirements is a skill published in the GitHub repository codeaholicguy/ai-devkit (1,601 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 929 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.
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