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 aatirar/voc-claude-skills --skill voc-analyze-callsgit clone --depth 1 https://github.com/aatirar/voc-claude-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/aatirar/voc-claude-skills/voc-analyze-calls)<a href="https://agentmods.dev/skills/aatirar/voc-claude-skills/voc-analyze-calls"><img src="https://agentmods.dev/badge/skills/aatirar/voc-claude-skills/voc-analyze-calls/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/aatirar/voc-claude-skills/voc-analyze-calls"><img src="https://agentmods.dev/badge/skills/aatirar/voc-claude-skills/voc-analyze-calls.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 | $0.00084 | $0.02650 |
| Opus 5 | $0.00042 | $0.01325 |
| Sonnet 5 | $0.00017 | $0.00530 |
| Haiku 4.5 | $0.00008 | $0.00265 |
Grade A, and why
voc-analyze-calls 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 11d 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 — 253 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/voc-analyze-calls — Call Intelligence Report
Reads the transcripts /voc-source-calls wrote and produces one report answering: who is
showing up, what hurts, what stops them buying, who else they are looking at, and what they
asked for that you do not have.
The orchestration matters. A single context window cannot hold 60 transcripts at 40-80KB each, and summarizing them one at a time loses exactly the cross-call patterns you are looking for. So: classify cheaply in the main thread, fan out to subagents that each read a small batch in full, and consolidate structured JSON back in the main thread.
Requires
| What | Value |
|---|---|
| Input | outputs/calls/index-*.json and transcripts, from /voc-source-calls |
| Config | config/thresholds.json, context/product-context.md |
| Cost | Subagent tokens only. A 60-call week runs ~8-10 subagents. |
Phase 1 — Select the calls worth reading
1.1 Load the index
Glob outputs/calls/index-*.json, pick the most recent, parse it. Parse the JSON, not the
markdown table. Assert that the number of rows you parsed equals calls.length in the file;
if it does not, stop and say so rather than analyzing a partial set.
1.2 Duration filter
Already applied by the fetcher using call_filters.min_duration_seconds. Report the count that
was dropped so the reader knows the denominator.
1.3 First pass — classify by title
Title patterns are free to evaluate and catch most internal and customer-success calls. Classify as CUSTOMER (excluded from this report) when the title contains any of:
weekly · biweekly · daily · standup · catch up / catchup / catch-up ·
check in / check-in · onboarding · kickoff / kick-off · setup / set up ·
training · QBR · dry run · rehearsal · support · escalation · renewal ·
retro / retrospective · sync · internal
Add your own patterns to context/product-context.md under customer_call_patterns — every
company has house naming conventions, and the ones above are only a starting set.
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.
- 11d ago First seen · 253 lines · 84 tokens per session scan A 09b1d55bd647
voc-analyze-calls is a skill published in the GitHub repository aatirar/voc-claude-skills (0 stars, last pushed 25d ago), licensed MIT. It adds 84 tokens to every session and 2,650 once invoked, about $0.0004 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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