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 verify-by-phonegit 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/verify-by-phone)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/verify-by-phone"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/verify-by-phone/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/verify-by-phone"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/verify-by-phone.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 | $0.00093 | $0.02749 |
| Opus 5.5 | $0.00037 | $0.01100 |
| Sonnet 5.5 | $0.00019 | $0.00550 |
| Haiku 4.5 | $0.00009 | $0.00275 |
Grade A, and why
verify-by-phone 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify By Phone
Use this skill when an agent must establish whether stored information about an organization is still true, and a phone call to the organization's published line is the way to find out.
verify-by-phone is a verification workflow skill. It places exactly one disclosed outbound CALL-E call per record, extracts the answer from the transcript with a verbatim supporting span, reconciles it against the stored record with transparent match-weight arithmetic, and returns either a calibrated confidence or an explicit abstention. The design goal is an agent that never converts an uncertain phone answer into a confident database write.
When To Use
Use this skill for:
- verifying a provider directory listing: is this practice real, reachable, accepting new patients, taking a given insurance plan
- checking whether a stored business record (hours, services, availability) still matches reality
- refreshing any dataset where the phone is the source of truth and the record is suspected stale
- workflows where an "unknown" outcome must be recorded honestly instead of guessed
- one record at a time, with a human-authorized recipient list
When Not To Use
Do not use this skill to:
- place undisclosed or pretext calls; every call announces that it is an automated assistant and why it is calling, in the same breath
- call wireless or personal numbers; verification targets published organizational lines
- run marketing, sales, lead generation, or any promotional outreach
- batch-dial a list without per-record human authorization
- overwrite a stored record directly from a call result; the output is a verdict with evidence, and the write decision stays with the operator
- guess an answer the respondent did not give; if the call yields no usable answer, the result is an abstention, and that is the correct output
Consent And Disclosure Rules
These are load-bearing, not boilerplate:
- The call opens by stating the AI identity and the purpose together, before anything else, and announces that the call may be recorded.
- If the respondent objects to speaking with an automated caller, the call thanks them and ends immediately. The result records the refusal as an unverifiable outcome.
- Hold time is capped. If the respondent asks the caller to wait, it waits briefly, then reports back rather than waiting indefinitely.
- The agent never invents information it was not given, on the call or in the result. Concretely: a clinic will often ask the caller for a name, a date of birth, an insurance member or card number, or a reason for the visit. The agent says plainly that it does not have that information, because this is a directory verification call and not an appointment request, and then repeats the question it called to ask. A placeholder is an invention.
- Voicemail is not an answer. On reaching voicemail or an answering machine the call ends immediately without leaving a message: a directory fact cannot be established from a recording, and nobody should find a robot message on their line.
- Calls are informational verification, never promotional. Treat every call as recorded with all-party consent requirements in mind.
What ships with it
15 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.
- .gitignore 29 B
- references/api-notes.md 4.5 KB
- references/examples.md 4.9 KB
- references/safety.md 6.1 KB
- references/sample-call.json 1.7 KB
- references/sample-scenarios.jsonl 3.2 KB
- references/verification-protocol.md 3.5 KB
- scripts/calibrate.py 2.8 KB runs code
- scripts/extract_answer.py 35 KB runs code
- scripts/gate.py 3.5 KB runs code
- scripts/place_verify_call.py 12 KB runs code
- scripts/poll_result.py 3.1 KB runs code
- scripts/reconcile_record.py 6.0 KB runs code
- scripts/test_calls_v2.py 8.1 KB runs code
- scripts/verify_attestation.py 1.5 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 Changed · +3 lines 5ac8abeec527
- 2mo ago First seen · 160 lines · 93 tokens per session scan A c2230c85ee4a
verify-by-phone is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (112 stars, last pushed 4d ago), licensed MIT. It adds 93 tokens to every session and 2,749 once invoked, about $0.0004 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 2026-08-30.
verify-by-phone compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| verify-by-phoneCALLE-AI/awesome-phone-call-agents | Skill | 112 | 4d ago | MIT | A | 93 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |