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/talont-org/autoskillit/make-reqnpx skills add TalonT-Org/AutoSkillit --skill make-reqgit clone --depth 1 https://github.com/TalonT-Org/AutoSkillitWhat 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 | $0.00062 | $0.01247 |
| Opus 5 | $0.00031 | $0.00624 |
| Sonnet 5 | $0.00012 | $0.00249 |
| Haiku 4.5 | $0.00006 | $0.00125 |
Grade A, and why
make-req 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 2d 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirements Decomposition Skill
Decompose a task, plan, roadmap, or feature description into a structured set of requirements. Requirements state what must be true when the work is done — never how to achieve it.
When to Use
- User says "make req", "make requirements", "decompose requirements"
- User has a task description, plan, roadmap, or feature brief and wants requirements extracted
- User wants to break a large effort into independently plannable groups
Core Principles
- Requirements are acceptance criteria, not instructions. Each requirement states a condition that must hold. It does not prescribe an approach, technology, pattern, or implementation step.
- Group by co-implementation. Requirements that would naturally be delivered together belong in the same group. Each group should be independently plannable — someone could take a single group and produce a complete plan from it without needing to implement other groups first (though groups may have ordering preferences).
- Describe observable outcomes. A requirement should be verifiable by observing the system's behavior, interfaces, or data — not by inspecting its internals.
- Source material is unverified input. Treat factual claims in the input (plans, scenarios, task descriptions, reports) as hypotheses about the codebase. Before incorporating any claim about how the system works into your output, verify it against subagent findings. When source material and codebase disagree, the codebase is authoritative.
Critical Constraints
NEVER:
- Modify any source code files
- Create files outside
temp/make-req/directory - Prescribe implementation approaches or libraries in requirements
- Include implementation steps disguised as requirements ("Refactor X to use Y" is an instruction, not a requirement)
- Write requirements that can only be verified by reading source code
ALWAYS:
- Use subagents to understand the source material and relevant codebase context
- Group requirements by what would be implemented together
- Provide background and context for each group
- State requirements as verifiable conditions
- Write to
temp/make-req/directory
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.
- 2d ago First seen · 147 lines · 62 tokens per session scan A 54f1f7a47960
make-req is a skill published in the GitHub repository TalonT-Org/AutoSkillit (5 stars, last pushed 3d ago), licensed MIT. It adds 62 tokens to every session and 1,247 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…