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 jpeslar1/john-peslar-ai-skills --skill founder-content-enginegit clone --depth 1 https://github.com/jpeslar1/john-peslar-ai-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/jpeslar1/john-peslar-ai-skills/founder-content-engine)<a href="https://agentmods.dev/skills/jpeslar1/john-peslar-ai-skills/founder-content-engine"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/founder-content-engine/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/jpeslar1/john-peslar-ai-skills/founder-content-engine"><img src="https://agentmods.dev/badge/skills/jpeslar1/john-peslar-ai-skills/founder-content-engine.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 | $0.00116 | $0.00582 |
| Opus 5.5 | $0.00046 | $0.00233 |
| Sonnet 5.5 | $0.00023 | $0.00116 |
| Haiku 4.5 | $0.00012 | $0.00058 |
Grade A, and why
founder-content-engine 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 2mo 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
Founder Content Engine
Use this skill to turn founder insight into content that builds trust, attracts buyers, and creates reusable distribution assets.
Read references/content-system.md when creating a full content calendar or repurposing plan.
Core Principle
Founder content works when it teaches from earned insight. It should show what the founder sees, what they tried, what failed, what changed, and what the reader can do now.
Content Pillars
Use 3 to 5 pillars:
- Proof - Case studies, screenshots, before-and-after, numbers, lessons.
- Point of view - Beliefs, contrarian takes, market shifts, category POV.
- Tactics - Templates, prompts, workflows, checklists, teardown steps.
- Founder story - Mistakes, decisions, constraints, lessons, operating cadence.
- Offer education - Problem awareness, mechanism, objections, buying criteria.
Workflow
- Extract raw material: notes, calls, product work, customer wins, failures, or research.
- Identify the lesson.
- Choose the content angle.
- Match the format to the point: post, thread, newsletter, video, carousel, or lead magnet.
- Write in a specific voice with concrete examples.
- Add a soft CTA only when it fits.
- Repurpose across channels.
Output Format
**Content Pillars**
1. ...
2. ...
3. ...
**This Week's Content**
| Day | Format | Topic | CTA |
|---|---|---|---|
**Posts**
1. [draft]
2. [draft]
3. [draft]
**Newsletter**
[outline]
**YouTube Ideas**
1. ...
2. ...
3. ...
**Repurposing Plan**
[how each asset becomes 3-5 more assets]
Rules
- Do not write generic thought leadership.
- Prefer specific stories, numbers, and observations.
- Use the founder's actual work as the content source.
- Make content useful even when there is no CTA.
- Treat distribution as a system, not random posting.
What ships with it
1 file 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.
- 2mo ago First seen · 76 lines · 116 tokens per session scan A 3d50fc8a87cf
founder-content-engine is a skill published in the GitHub repository jpeslar1/john-peslar-ai-skills (12 stars, last pushed 18d ago), licensed MIT. It adds 116 tokens to every session and 582 once invoked, about $0.0005 per session on Opus 5.5. 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.
founder-content-engine compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| founder-content-enginejpeslar1/john-peslar-ai-skills | Skill | 12 | 18d ago | MIT | A | 116 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |