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 CALLE-AI/awesome-phone-call-agents --skill concord-policy-auditgit clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agentsWrote 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/calle-ai/awesome-phone-call-agents/concord-policy-audit)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/concord-policy-audit"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/concord-policy-audit/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/calle-ai/awesome-phone-call-agents/concord-policy-audit"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/concord-policy-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00041 | $0.00872 |
| Opus 5 | $0.00020 | $0.00436 |
| Sonnet 5 | $0.00008 | $0.00174 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
concord-policy-audit 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 6d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Concord
Use this skill when an operator wants to know whether their own locations give callers the answer their policy requires: a pharmacy chain checking counter advice, a clinic network checking triage instructions, an insurer checking how branches describe a term.
Concord calls branches the operator owns, asks a fixed set of questions, records what was said, and rules each answer against a written rubric. It reports on branches, never on people.
When not to use
- The lines belong to someone else. Concord audits an operator's own estate. Calling a competitor's shop to score their staff is not this tool.
- The user wants to identify, rank or discipline the individual who answered. Decline. That is the boundary the product is built around, not a setting.
- The user wants a customer survey, a sales call, or a line-health check. For
whether a line technically works, use
linecanary-monitorinstead. Concord judges what a human said, not whether the phone rang.
Required inputs
- the operator organisation and who requested the audit
- one to twelve branches, each with an E.164 number and a written authorization reference showing the operator owns that line
- the branches' timezone and weekday call window
- a rubric: a scenario plus criteria, each with the question to ask, the policy in the policy's own words, the field to extract, and the answer policy requires
Do not invent policy. The rubric is written by whoever owns the policy, and Concord reads it rather than inferring it.
Workflow
- Write the rubric and the audit file. See
assets/. - Run
concord taskto show the operator the exact words branches will hear and the schema the call must answer in. - Run
concord previewfor masked numbers, the call count and an approval token bound to that exact audit. - Pause for explicit approval. Asking for a preview is not approval to call.
- Run the exact command preview printed. A live run needs
--live, the matching token, and an open weekday window, all three. - Present the gap register. Deviations first, then unresolved answers.
- Route every finding to the branch, never to a named person.
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.
- 6d ago First seen · 86 lines · 41 tokens per session scan A de0a6c7222ea
concord-policy-audit is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 872 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 2026-09-06.
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