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 genudo-ai/genudo_mcp --skill analyze-conversationgit clone --depth 1 https://github.com/genudo-ai/genudo_mcpWrote 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/genudo-ai/genudo_mcp/analyze-conversation)<a href="https://agentmods.dev/skills/genudo-ai/genudo_mcp/analyze-conversation"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/analyze-conversation/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/genudo-ai/genudo_mcp/analyze-conversation"><img src="https://agentmods.dev/badge/skills/genudo-ai/genudo_mcp/analyze-conversation.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 | $0.00097 | $0.00404 |
| Opus 5 | $0.00048 | $0.00202 |
| Sonnet 5 | $0.00019 | $0.00081 |
| Haiku 4.5 | $0.00010 | $0.00040 |
Grade A, and why
analyze-conversation 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 10d 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
Analyze Conversation
Reconstruct what an agent actually did in a real chat and explain why — then point to the fix.
Resolve the transcript
- Given a conversation ID (from a link): fetch its messages with
list_messages(filter by pipeline/contact as available; page with the cursor for long histories). - Given a phone number:
list_contactsto resolve the contact, thenlist_messagesfiltered bycontact_id.
Evaluate turn by turn
Walk the transcript in order and note, per turn:
- which stage the agent was likely in,
- whether it followed that stage's flow and honored global rules,
- drift points — where it invented facts, claimed a false action success, asked for data it already had, skipped/entered a stage wrongly, or broke tone.
Root-cause
For each drift point, trace it to the responsible field:
persona · global instructions · a stage's enter_condition · a stage's instructions · an
action's instructions/variables. Cross-reference the live text with list_pipelines /
list_pipeline_stages.
Output
Write ./genudo-work/conversations/<id>/analysis.md: a turn timeline, the drift points, the
root cause per point, and the recommended fix. Hand off to diagnose-agent-behavior →
edit-pipeline-instructions. Read-only; no account writes here.
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.
- 10d ago First seen · 37 lines · 97 tokens per session scan A 227806b78c5d
analyze-conversation is a skill published in the GitHub repository genudo-ai/genudo_mcp (0 stars, last pushed 10d ago), licensed MIT. It adds 97 tokens to every session and 404 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 2026-08-31.
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