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 skills add DevelopersGlobal/ai-agent-skills --skill idea-to-specgit clone --depth 1 https://github.com/DevelopersGlobal/ai-agent-skillsWrote 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/developersglobal/ai-agent-skills/idea-to-spec)<a href="https://agentmods.dev/skills/developersglobal/ai-agent-skills/idea-to-spec"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/idea-to-spec/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/developersglobal/ai-agent-skills/idea-to-spec"><img src="https://agentmods.dev/badge/skills/developersglobal/ai-agent-skills/idea-to-spec.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00025 | $0.00510 |
| Opus 5 | $0.00013 | $0.00255 |
| Sonnet 5 | $0.00005 | $0.00102 |
| Haiku 4.5 | $0.00003 | $0.00051 |
Grade A, and why
idea-to-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 10d 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
Overview
Vague ideas produce vague implementations. This skill transforms any idea — no matter how fuzzy — into a concrete specification with clear scope, acceptance criteria, and non-goals.
When to Use
- At the start of any new feature
- When a request is ambiguous
- Before creating tasks or writing any code
Process
Step 1: Capture the Core Problem
- Write: "Users currently can't [do X], which causes [pain Y]."
- Identify: who has this problem? How often? What's the impact?
- Distinguish problem from solution — don't spec a solution until the problem is understood.
Verify: You can state the problem without mentioning any implementation.
Step 2: Define Success
- Write 3–7 acceptance criteria in this format:
Given [context] When [action] Then [outcome] - Each criterion must be binary — either it passes or it doesn't.
- Include negative cases: "Given X, the system must NOT do Y."
Verify: A QA engineer can test each criterion without asking for clarification.
Step 3: Define Scope
- In scope: List what is explicitly included.
- Out of scope: List what is explicitly excluded — as important as what's included.
- Open questions: List any decisions that still need resolution before implementation.
Verify: The out-of-scope list has at least 2 items.
Step 4: Define Non-Functional Requirements
- Performance: response time, throughput, scale targets.
- Security: auth requirements, data sensitivity.
- Reliability: uptime SLA, acceptable error rate.
Verification
- Problem statement written without mentioning implementation
- Acceptance criteria in Given/When/Then format
- Each criterion is binary (pass/fail)
- Explicit out-of-scope list
- Open questions listed
References
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.
- 10d ago First seen · 68 lines · 25 tokens per session scan A c6eeed000b3b
idea-to-spec is a skill published in the GitHub repository DevelopersGlobal/ai-agent-skills (66 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 510 once invoked, about $0.0001 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.
Other skills, from other repositories
code-review-and-quality
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
constraint-driven-development
Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or…
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
api-and-interface-design
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
doubt-driven-development
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high…
test-driven-development
Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.