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 whawkinsiv/solo-founder-skills --skill plangit clone --depth 1 https://github.com/whawkinsiv/solo-founder-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/whawkinsiv/solo-founder-skills/plan)<a href="https://agentmods.dev/skills/whawkinsiv/solo-founder-skills/plan"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/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/whawkinsiv/solo-founder-skills/plan"><img src="https://agentmods.dev/badge/skills/whawkinsiv/solo-founder-skills/plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00063 | $0.01287 |
| Opus 5 | $0.00032 | $0.00643 |
| Sonnet 5 | $0.00013 | $0.00257 |
| Haiku 4.5 | $0.00006 | $0.00129 |
Grade A, and why
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 13d 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 — 190 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scope
Turn ideas into specs that AI tools can execute and stakeholders can evaluate.
When to Use This Skill
- Starting any new feature or product
- Before hiring developers or estimating costs
- When AI keeps building the wrong thing (unclear spec)
- When stakeholders need to review scope and budget
Choose Your Approach
Quick Feature Spec (10-15 minutes)
- Use for: Single features, iterations, additions
- Give to: AI tools (Claude Code, Lovable, Replit) to build directly
- See: QUICK-SPEC.md
Full Project Scope (1-2 hours)
- Use for: New products, major releases, stakeholder review
- Give to: Contractors, team members, budget planning
- See: PROJECT-SCOPE.md
Quick Feature Spec Workflow
Use this checklist and complete each section:
Feature Spec Progress:
- [ ] Write what users will do (2-3 sentences)
- [ ] Show what it looks like (reference, screenshot, or description)
- [ ] Define happy path (3-5 steps)
- [ ] List edge cases (2-4 scenarios)
- [ ] Specify out of scope items
- [ ] Save to docs/specs/YYYY-MM-DD-feature-name.md
Section 1: What Users Will Do
Write 2-3 sentences describing user actions and outcomes.
Template:
Users can [ACTION] to [OUTCOME].
When they [DO THIS], they see [WHAT HAPPENS].
If [EDGE CASE], then [WHAT HAPPENS].
Example:
Users sign up with email/password, receive confirmation email, and log in to
see their dashboard. They can reset forgotten passwords via email link.
Section 2: What It Looks Like
Pick ONE:
- Reference app: "Login like Linear - minimal, centered, email/password/button"
- Screenshot/sketch: Quick mockup or phone photo
- Description: "Card 400px wide, 'Welcome' header Inter 24px, two inputs, blue button"
Section 3: Happy Path
List 3-5 steps users take to complete the task.
Section 4: Edge Cases
List 2-4 scenarios where things don't go as planned and what happens.
Format:
- **[Scenario]:** [Response shown to user]
What ships with it
2 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.
- 13d ago First seen · 190 lines · 63 tokens per session scan A 43cb2c6ea771
plan is a skill published in the GitHub repository whawkinsiv/solo-founder-skills (243 stars, last pushed 16d ago), licensed MIT. It adds 63 tokens to every session and 1,287 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
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…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…