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 shawnpang/startup-founder-skills --skill founder-thought-leadershipgit clone --depth 1 https://github.com/shawnpang/startup-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/shawnpang/startup-founder-skills/founder-thought-leadership)<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/founder-thought-leadership"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/founder-thought-leadership/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/shawnpang/startup-founder-skills/founder-thought-leadership"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/founder-thought-leadership.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 | $0.00057 | $0.01151 |
| Opus 5 | $0.00028 | $0.00575 |
| Sonnet 5 | $0.00011 | $0.00230 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
founder-thought-leadership 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- founder-thought-leadership — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Founder Thought Leadership
When to Use
- Founder wants to build a personal brand that drives pipeline, recruiting, or fundraising
- Founder wants to establish IP (intellectual property in ideas, not legal) — original frameworks, contrarian takes, or proprietary insights
- Founder wants to grow a relevant audience on X or LinkedIn
- Founder wants to turn founder journey into content (building in public, lessons learned)
Context Required
- Founder's area of expertise and unique perspective
- Target audience (customers, investors, talent, peers)
- Platform priority (X, LinkedIn, or both)
- Current following size and engagement baseline
- Company stage and what they're optimizing for (pipeline, recruiting, fundraising, awareness)
Workflow
- Define the founder's IP territory — identify 2-3 topics where the founder has genuine, earned insight that others don't. These must pass the "why should anyone listen to YOU on this?" test.
- Audit existing content — review the founder's last 20 posts on each platform. Identify what got traction, what fell flat, and what's missing from their voice.
- Build the content system — create a repeatable framework:
- Pillar posts (1-2/week): original frameworks, data, or contrarian takes that establish IP
- Proof posts (2-3/week): behind-the-scenes, customer wins, lessons from failure, building in public
- Engagement posts (daily): replies, quote tweets, threads on others' content
- Create the IP library — document the founder's original frameworks, mental models, and coined terms. These become the building blocks for all content.
- Write a 2-week content calendar — draft actual posts with platform-specific formatting.
- Set up the feedback loop — define which metrics to track (impressions, profile visits, inbound DMs, pipeline attributed to content).
Output Format
## Founder Thought Leadership Plan
### IP Territory
- Topic 1: [topic] — why you have authority here
- Topic 2: [topic] — why you have authority here
### Original Frameworks
- [Framework name]: [one-line description]
- Origin story: [how you discovered/developed this]
- Post format: [how to present it]
### Platform Strategy
**LinkedIn:** [posting cadence, format preference, audience]
**X/Twitter:** [posting cadence, format preference, audience]
### 2-Week Content Calendar
| Day | Platform | Type | Topic | Hook |
|-----|----------|------|-------|------|
| Mon | LinkedIn | Pillar | ... | ... |
| Tue | X | Proof | ... | ... |
| ... | ... | ... | ... | ... |
### Metrics to Track
- [metric]: [current baseline] → [30-day target]
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.
- 12d ago First seen · 98 lines · 57 tokens per session scan A 4cf306b45272
founder-thought-leadership is a skill published in the GitHub repository shawnpang/startup-founder-skills (321 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 1,151 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…