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 Infinite-Labs-AI/infinite-skills --skill content-strategygit clone --depth 1 https://github.com/Infinite-Labs-AI/infinite-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/infinite-labs-ai/infinite-skills/content-strategy)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/content-strategy/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/infinite-labs-ai/infinite-skills/content-strategy"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/content-strategy.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 | $0.00031 | $0.00437 |
| Opus 5.5 | $0.00012 | $0.00175 |
| Sonnet 5.5 | $0.00006 | $0.00087 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
content-strategy 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 1mo 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
Content Strategy
Turn real customer stories, founder lessons, and proof into useful content angles.
Refuse Empty Authority
Do not invent customers, quotes, metrics, screenshots, or lived experience. If the user has no story or proof, ask for source material or recommend a different topic.
Useful source material:
- Customer situation.
- Internal decision.
- Failed experiment.
- Support ticket pattern.
- Data point.
- Screenshot or artifact.
- Before/after result.
- Strong opinion backed by experience.
Find The Story
Before outlining, identify:
- Scene: where the reader enters.
- Stakes: what could be lost, wasted, delayed, or misunderstood.
- Turn: the moment the obvious answer stopped working.
- Evidence: the artifact, quote, number, screenshot, or observation that carries the story.
- Reader shift: what the reader should believe or do differently after reading.
If the spine is weak, ask one focused follow-up.
Choose The Shape
Pick one:
- Decision memo: why we chose A over B.
- Teardown: what the artifact reveals.
- Field note: pattern observed across customers.
- Postmortem: what failed and what changed.
- Transfer memo: steps derived from a real case.
- Opinion with receipts: contrarian claim plus proof.
Avoid listicles unless the list comes from a specific dataset or repeated fieldwork.
Output
Content angle:
[specific angle]
Narrative spine:
Scene:
Stakes:
Turn:
Evidence:
Reader shift:
Best format:
[shape] because [reason]
Headline options:
1. [specific]
2. [specific]
3. [specific]
Outline:
1. Opening scene
2. What most people assume
3. What actually happened
4. Evidence and analysis
5. Transferable lesson
6. CTA or next step
Missing proof:
- [what to gather before publishing]
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.
- 1mo ago First seen · 82 lines · 31 tokens per session scan A 3a95881e329d
content-strategy is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 2mo ago), licensed MIT. It adds 31 tokens to every session and 437 once invoked, about $0.0001 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 2026-08-30.
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consumer-research
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industry-research
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hot-public-opinion-analysis
A public-opinion analysis skill for examining trending events, widely discussed news, industry disputes, competitor incidents, policy changes, negative narratives, rumours, and social topics.
judgment-hub
A decision-making skill for public-relations situations that require a final call, risk trade-offs, task routing, or strategic judgment.