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 eugenepyvovarov/mcpbundler-agent-skills-marketplace --skill spec-to-plangit clone --depth 1 https://github.com/eugenepyvovarov/mcpbundler-agent-skills-marketplaceWrote 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/eugenepyvovarov/mcpbundler-agent-skills-marketplace/spec-to-plan)<a href="https://agentmods.dev/skills/eugenepyvovarov/mcpbundler-agent-skills-marketplace/spec-to-plan"><img src="https://agentmods.dev/badge/skills/eugenepyvovarov/mcpbundler-agent-skills-marketplace/spec-to-plan/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/eugenepyvovarov/mcpbundler-agent-skills-marketplace/spec-to-plan"><img src="https://agentmods.dev/badge/skills/eugenepyvovarov/mcpbundler-agent-skills-marketplace/spec-to-plan.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 | $0.00080 | $0.00928 |
| Opus 5 | $0.00040 | $0.00464 |
| Sonnet 5 | $0.00016 | $0.00186 |
| Haiku 4.5 | $0.00008 | $0.00093 |
Grade A, and why
spec-to-plan 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 9d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spec-to-Plan Skill
This skill guides the process of transforming project descriptions into clear specifications and actionable task lists for developers.
Process Overview
The skill follows a five-phase workflow:
- Create Initial Specification - Analyze the feature/project description
- Clarify Questions - Identify and resolve all ambiguities
- Generate Markdown Spec - Produce detailed specification document (presented as
spec.mdin chat) - Create Comprehensive Todo - Break down into implementable tasks
- Output Plan Markdown - Generate final
plan.mdwith progress tracking (presented in chat)
Final deliverables: Both specification and plan content are provided as markdown in the conversation.
Phase 1: Initial Specification
Load the prompt template from references/phase1_spec_prompt.md and fill in the feature description provided by the user.
Key principles:
- If files are provided, analyze the codebase thoroughly
- If no files, work from the task description or ask for detailed project description
- Identify dependencies, structure, and integration points
- Note edge cases (within reason - ask about scope depth)
- List ALL unclear or ambiguous points
Do NOT implement yet - only analyze and prepare questions.
Phase 2: Clarify Questions
Ask all clarification questions at once. After receiving answers:
- If more questions persist, ask them
- Continue until no ambiguities remain
- Do NOT assume any requirements beyond explicitly described details
Scope control:
- Ask the user about desired depth and scope when uncertain
- Avoid going overboard with edge cases unless specifically requested
- Focus on what's explicitly needed
Phase 3: Generate Markdown Spec
After all questions are answered, create a comprehensive specification document and present it in the chat:
Content requirements:
- No specific template required (flexible format)
- Should be clear, detailed, and implementation-ready
- Include all decisions and clarifications from the Q&A phase
- Document the full feature/project specification
What ships with it
3 files 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.
- 9d ago First seen · 118 lines · 80 tokens per session scan A b19bf360db60
spec-to-plan is a skill published in the GitHub repository eugenepyvovarov/mcpbundler-agent-skills-marketplace (12 stars, last pushed 6mo ago), licensed MIT. It adds 80 tokens to every session and 928 once invoked, about $0.0004 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 2026-09-03.
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