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 orchidautomation/pluxx --skill post-call-recapgit clone --depth 1 https://github.com/orchidautomation/pluxxWrote 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/orchidautomation/pluxx/post-call-recap)<a href="https://agentmods.dev/skills/orchidautomation/pluxx/post-call-recap"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/post-call-recap/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/orchidautomation/pluxx/post-call-recap"><img src="https://agentmods.dev/badge/skills/orchidautomation/pluxx/post-call-recap.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 | $0.00039 | $0.00229 |
| Opus 5 | $0.00019 | $0.00114 |
| Sonnet 5 | $0.00008 | $0.00046 |
| Haiku 4.5 | $0.00004 | $0.00023 |
Grade A, and why
post-call-recap 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
Megamind Post-Call Recap
Generate a post-call recap from the latest Megamind transcript, recent Slack context, and any extra user context.
Workflow
- Identify the client.
- Pull in parallel:
get_client_pulse(client_id, days=3)get_messages(client_id, days=3)
- Fetch the most recent call transcript with
get_call_transcript(call_id). - If multiple same-day calls exist, fetch them all in parallel and use the most complete one.
- Ask the user for any missing offline context before drafting.
- Produce a recap with Summary and Next Steps.
Output Rules
- Use the client's own terminology when possible.
- Keep bullets short and specific.
- Cross-reference Slack for names, deliverables, and prior context.
- Assign clear ownership in Next Steps when the transcript supports it.
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 · 27 lines · 39 tokens per session scan A 11db7c943080
post-call-recap is a skill published in the GitHub repository orchidautomation/pluxx (5 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 229 once invoked, about $0.0002 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 2026-08-31.
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