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 phone-claim-verifiergit 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/phone-claim-verifier)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/phone-claim-verifier"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/phone-claim-verifier/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/phone-claim-verifier"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/phone-claim-verifier.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 | $0.00083 | $0.01731 |
| Opus 5.5 | $0.00033 | $0.00692 |
| Sonnet 5.5 | $0.00017 | $0.00346 |
| Haiku 4.5 | $0.00008 | $0.00173 |
Grade A, and why
phone-claim-verifier 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phone Claim Verifier
Use this skill when the user has a table of records - each with a phone number and one or more claims attached - and wants those claims checked by calling the number and asking.
Examples: "call each clinic in this CSV and confirm they still take the Northline Health plan", "phone these suppliers and check the contact name on file is still right", "verify this community-services directory is still accurate".
The skill is a thin wrapper around CALL-E's one-off call workflow. It does not add backend APIs, provider-side batches, a daemon, or new MCP tools. Two small standard-library scripts do the deterministic work; you (the agent) place the calls and read the transcripts.
The one rule
A MATCH or MISMATCH verdict is only produced when a verbatim quote from a recipient
turn supports it. If you cannot copy such a quote out of the transcript, the verdict is
UNCLEAR - stated plainly, not as an error. This is enforced in scripts/verdict.py, in
code. Read references/evidence-rules.md before resolving any call.
When To Use
- checking phone-reachable records against claims: does this office accept this plan, is this still the contact, are these hours current, is this address right
- batch verification where each record has its own phone number and its own asserted facts
- producing an evidence-backed corrections file a team can act on
When Not To Use
- placing calls to numbers that are not on a record in the user's own table
- inferring a phone number, region, timezone, or language - ask the user, do not guess
- calling third-party numbers the user has not confirmed they are authorised to contact
- adding a CALL-E backend verification API or a provider-side recurring job
- resolving a verdict from the recipient's tone or your own inference rather than a quote
- installing
calleglobally without the user's explicit approval
Setup
- Confirm the user wants real outbound calls placed to the numbers in their table.
- Get the records. A CSV with
record_id,name,phone,address,regionplus one column per claim (valuestrue/false), or a JSON object per record. Seeexamples/providers.csv. - Get or write a claim pack (a JSON file listing the questions to ask and how to read each
answer). See
references/claim-packs.mdandexamples/healthcare.json. - Check CALL-E auth. Resolve a CALL-E command or the MCP route the same way other skills in
this repository do; the MCP route is
https://seleven-mcp-sg.airudder.com/mcp/openagent_oauth.
What ships with it
12 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.
- examples/healthcare.json 1.5 KB
- examples/providers.csv 313 B
- references/claim-packs.md 2.4 KB
- references/evidence-rules.md 2.7 KB
- references/examples.md 3.7 KB
- references/safety.md 2.7 KB
- references/verdict-taxonomy.md 1.9 KB
- scripts/_display.py 977 B runs code
- scripts/_pcv.py 7.2 KB runs code
- scripts/plan.py 3.4 KB runs code
- scripts/test_display.py 3.8 KB runs code
- scripts/verdict.py 3.2 KB runs code
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 · 136 lines · 83 tokens per session scan A 7e0acce98fd3
phone-claim-verifier is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 83 tokens to every session and 1,731 once invoked, about $0.0003 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 2026-09-16.
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