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 distribution-plangit 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/distribution-plan)<a href="https://agentmods.dev/skills/infinite-labs-ai/infinite-skills/distribution-plan"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/distribution-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/infinite-labs-ai/infinite-skills/distribution-plan"><img src="https://agentmods.dev/badge/skills/infinite-labs-ai/infinite-skills/distribution-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 | $0.00027 | $0.00413 |
| Opus 5 | $0.00014 | $0.00206 |
| Sonnet 5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade A, and why
distribution-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 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.
What it actually says
Distribution Plan
Create a repeatable plan for turning company activity into posts, newsletters, community updates, PR angles, and partner promotion.
Start With Source Material
Find what the team can repeatedly talk about:
- Customer stories.
- Product changes.
- Founder opinions.
- Data or benchmarks.
- Behind-the-scenes decisions.
- Competitive lessons.
- Community questions.
- Support patterns.
- Partner or customer wins.
If there is no source material, plan collection habits before a posting schedule.
Choose Channels And Formats
Route source material by job:
- Proof: customer result, product usage, revenue, benchmark, review.
- Point of view: founder belief, market shift, mistake, refusal.
- Education: workflow, teardown, checklist, answer to a repeated question.
- Progress: ship note, changelog, behind-the-scenes decision.
- Conversation: community question, comment thread, objection, trend.
Then choose surfaces by capacity and audience behavior. Do not schedule every channel. Pick the few the team can maintain.
Design The Cadence
Define recurring slots:
- Weekly proof post.
- Customer lesson.
- Founder point of view.
- Product progress.
- Community answer.
- Partner amplification.
- Monthly narrative or report.
Each slot needs input source, owner, format, CTA, and reuse path.
Output
Distribution thesis:
[why this audience will keep paying attention]
Source routes:
| Source material | Route | Surface | Format | Owner | CTA |
This week:
1. [post/story]
2. [post/story]
3. [post/story]
Reuse map:
- [source] -> [formats]
Collection habits:
- [what to capture weekly]
Queue health:
- Starved source:
- Overused format:
- Channel at capacity:
Do not do:
- [channel or format to skip]
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.
- 12d ago First seen · 80 lines · 27 tokens per session scan A f9c29ba26df5
distribution-plan is a skill published in the GitHub repository Infinite-Labs-AI/infinite-skills (44 stars, last pushed 13d ago), licensed MIT. It adds 27 tokens to every session and 413 once invoked, about $0.0001 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.
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