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 call-script-compliance-auditorgit 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/call-script-compliance-auditor)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-script-compliance-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-script-compliance-auditor/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/call-script-compliance-auditor"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-script-compliance-auditor.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 | $0.00032 | $0.00532 |
| Opus 5.5 | $0.00013 | $0.00213 |
| Sonnet 5.5 | $0.00006 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
call-script-compliance-auditor 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 1mo 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Script Compliance Auditor
The call-script-compliance-auditor skill is an offline experimental phrase checklist for AI-agent call scripts. Its PASS/WARN/FAIL labels describe heuristic checks only; they neither establish legal compliance nor authorize dialing. A qualified human must review real use.
Supported Jurisdictions
- UK_FCA: Financial Conduct Authority (Consumer Duty rules).
- EU_GDPR: General Data Protection Regulation (Articles 7, 13, 14).
- US_TCPA: Telephone Consumer Protection Act.
- US_HIPAA: Health Insurance Portability and Accountability Act (Privacy Rule).
Research & Regulatory Scope
The jurisdiction names label illustrative rule sets, not complete or current legal coverage. Research and regulatory links are background only; no published benchmark or legal clause-to-rule certification is claimed. See research scope.
How it works
The skill parses the call script (either plain text or a JSON task definition) and runs it through a dictionary of regex-based rules for the chosen jurisdiction.
Each rule is categorized as:
- REQUIRED: The script must contain specific language (e.g. "opt out"). Failure results in
FAIL. - WARN_IF_ABSENT: The script should probably contain this language (e.g. risk warnings), but its absence isn't an automatic failure. Results in
WARN. - PROHIBITED: The script must NOT contain this language (e.g. "this offer expires tonight"). Presence results in
FAIL.
It outputs a structured JSON report with an overall_verdict (PASS, WARN, or FAIL), risk level, and suggested rewrites where implemented. Some failed rules have no rewrite suggestion.
Expected Outcomes & Metrics
These are unvalidated design targets, not measured legal accuracy.
| Metric | Target | Notes |
|---|---|---|
| Regulatory Precision | > 95% | False positives (flagging compliant text) are acceptable; false negatives (missing a violation) are critical failures. |
Limitations & Known Constraints
- Heuristic Limitations: This tool uses regex pattern matching. It does not possess deep semantic understanding. A highly obfuscated script might bypass the checks.
- Not Legal Advice: This is a technical guardrail, not a substitute for qualified legal counsel.
What ships with it
7 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.
- 1mo ago First seen · 44 lines · 32 tokens per session scan A 22f9ec083fb4
call-script-compliance-auditor is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 532 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-19.
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gesellschaftsrechtliche-satzungen-agb
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