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 matteotitta/genesys-skills --skill transcriptsgit clone --depth 1 https://github.com/matteotitta/genesys-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/matteotitta/genesys-skills/transcripts)<a href="https://agentmods.dev/skills/matteotitta/genesys-skills/transcripts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/transcripts/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/matteotitta/genesys-skills/transcripts"><img src="https://agentmods.dev/badge/skills/matteotitta/genesys-skills/transcripts.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 | $0.00027 | $0.01719 |
| Opus 5 | $0.00014 | $0.00860 |
| Sonnet 5 | $0.00005 | $0.00344 |
| Haiku 4.5 | $0.00003 | $0.00172 |
Grade A, and why
transcript-analysis 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 9d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transcript analysis
Extract structured, verifiable insights from long-form transcripts with strict anti-hallucination guardrails — every insight follows the Pyramid Principle (SCQA structure) and traces to a timestamped, speaker-attributed verbatim quote. The Iron Law: NO INSIGHT WITHOUT VERBATIM QUOTE. Pulls transcripts from Granola (meetings) and YouTube (videos) when MCPs are available; otherwise uses user-pasted text.
Doctrine inherited (Step 7 — 0626 rollout, locked 2026-06-04)
Internal-reference skill — feeds insights to other skills. Applies [[feedback_execution_doctrine_refinements_step6]] R1 (inline verbatim quotes + timestamps stay — auditability is the Iron Law), R3 (insight framing operator-direct), R9 (verb-led section headings). R2/R5/R6/R7/R8 not applicable (no customer-facing surface).
When to run
Invoke when the user says: "Analyze this transcript", "Extract takeaways from [transcript]", "Summarize this call", "Podcast summary", "Video transcript analysis", "Interview insights", "Webinar notes", "Extract key points from [content]", "What did they say about [topic]", "Meeting notes from transcript", "Conference talk summary", "Extract quotes from [transcript]".
Do NOT invoke for:
- Sales call win/loss analysis →
win-loss-analysis - Competitor research →
competitor-research - Quick 2-3 sentence summary → answer directly
- Creating new content from transcript → clarify (analysis vs. content creation); content goes to
linkedin-content/thought-leadership
Inputs
Required: Full transcript text (pasted, file, or pulled via Granola / YouTube MCP).
Optional (improve quality): speaker metadata (names, roles, companies); context (purpose, topic area, date recorded); focus areas (specific topics or questions to prioritize); output format (specific structure needed); analysis mode (full / quick takeaways / topic extraction / quote mining / speaker analysis — default: full).
Validation gate before proceeding:
- Transcript text provided
- Analysis mode confirmed (or defaulting to full)
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.
- 9d ago First seen · 111 lines · 120 tokens per session scan A ba5c714f28db
transcript-analysis is a skill published in the GitHub repository matteotitta/genesys-skills (36 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 1,719 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 2026-09-03.
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