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 product-on-purpose/pm-skills --skill foundation-meeting-synthesizegit clone --depth 1 https://github.com/product-on-purpose/pm-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/product-on-purpose/pm-skills/foundation-meeting-synthesize)<a href="https://agentmods.dev/skills/product-on-purpose/pm-skills/foundation-meeting-synthesize"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/foundation-meeting-synthesize/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/product-on-purpose/pm-skills/foundation-meeting-synthesize"><img src="https://agentmods.dev/badge/skills/product-on-purpose/pm-skills/foundation-meeting-synthesize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00092 | $0.02018 |
| Opus 5 | $0.00046 | $0.01009 |
| Sonnet 5 | $0.00018 | $0.00404 |
| Haiku 4.5 | $0.00009 | $0.00202 |
Grade A, and why
foundation-meeting-synthesize 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.
How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Meeting Synthesize
Meeting synthesis is the archaeology skill for multi-meeting initiatives. It consumes a set of meeting recaps (and optionally raw notes) over a period, and surfaces patterns that no single meeting reveals: how decisions evolved, how stakeholder positions shifted, where threads are stalling, where contradictions have emerged.
Distinct from /discover-interview-synthesis: that skill works on user-research conversations with research-specific frameworks (jobs-to-be-done, buying insights). This skill works on internal org meetings with org-specific patterns (stakeholder alignment, decision evolution, project history).
This skill belongs to the Meeting Skills Family. It conforms to the Meeting Skills Family Contract.
When to Use
- Board prep or exec-brief preparation across a meeting sequence
- Onboarding a new team member into the history of an initiative
- Project retrospective input (the story of how we got here)
- Investigating why a multi-meeting initiative has stalled
- Quarterly review of a topic that has crossed many meetings
- Surfacing contradictions that no single-meeting reviewer caught
When NOT to Use
- Single-meeting summary. Use
foundation-meeting-recapinstead. - Communicating outcomes outward. Use
foundation-stakeholder-update. - User research conversation synthesis. Use
discover-interview-synthesis.
Zero-friction execution
Per the family contract, this skill never blocks on interrogation. Default flow:
- Load all provided source files (recaps preferred, raw notes accepted with lower input-quality flag)
- Apply any filters (time range, topic, stakeholder)
- Run inference on themes, stakeholder evolution, contradictions
- Present a brief inference summary (meeting count after filter, time range detected, per-source input quality, scope filter applied)
- Accept
goor corrections - Produce the synthesis
What ships with it
4 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.
- 12d ago First seen · 149 lines · 92 tokens per session scan A aa3b57b9abea
foundation-meeting-synthesize is a skill published in the GitHub repository product-on-purpose/pm-skills (663 stars, last pushed yesterday), licensed Apache-2.0. It adds 92 tokens to every session and 2,018 once invoked, about $0.0005 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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