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 verity-verification-coregit 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/verity-verification-core)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/verity-verification-core"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/verity-verification-core/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/verity-verification-core"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/verity-verification-core.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 | $0.00090 | $0.01199 |
| Opus 5 | $0.00045 | $0.00600 |
| Sonnet 5 | $0.00018 | $0.00240 |
| Haiku 4.5 | $0.00009 | $0.00120 |
Grade A, and why
verity-verification-core 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 3d 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verity Verification Core
Use this skill in the gap between a CALL-E call finishing and your agent acting on it.
CALL-E reports task_completed: true; this skill decides whether that is safe to act
on. It re-reads transcript_turns with a deterministic grammar, checks the parsed
value against what your action would actually write, requires a strict in-transcript
confirmation, and folds in a fresh check of the resource you are about to change. Any
missing field, any open ambiguity, any thrown error resolves to BLOCK, never ALLOW.
task_completed == true is necessary, never sufficient.
It does not place calls, hold slots, or write calendars. It turns one call snapshot
into ALLOW / BLOCK + a reason_code + a repair_target to confirm elsewhere.
When to use
- After a CALL-E
confirm,reschedule, orbookcall whose result will trigger a real-world write (a calendar entry, a CRM update, a fulfillment step). - When you need to tell "the caller agreed to 3:30" apart from "CALL-E's summary says 3:00", "the call reached voicemail", or "a time was mentioned but never confirmed".
- When a caught failure should govern future calls: the skill can turn a blocked transcript into a PII-safe pattern for your own learned-pattern store.
When not to use
- To place or schedule the call. That is your CALL-E integration's job — see
references/calle-handoff.md. - As a source of the booking value. The value always comes from the deterministic grammar over the transcript, never from a model and never from CALL-E's summary.
- For medical, legal, financial-advice, or emergency call content. See
references/safety.md.
Workflow
- Preview. Run
scripts/preview_gate.pywith your intent + the value the task will write. It prints the call plan (task text,result_schema, a deterministic idempotency key, a masked recipient) and the exact E1–E7 checklist the gate will apply. No call is placed. - Get explicit user intent for that specific recipient and value before any call
is placed. Read
references/safety.md. - Place the call through your own CALL-E integration with the previewed plan.
- Re-fetch, don't trust the webhook. CALL-E does not sign webhooks; fetch
GET /v1/calls/{id}server-side and reconcile that snapshot. - Reconcile. Run
scripts/reconcile_call.pywith the call snapshot + the same intent/value. It printsALLOW/BLOCK, thereason_code, and on BLOCK therepair_targetto quote on a second channel (e.g. an SMS "reply YES to confirm 3:30"). Voicemail, self-correction, ambiguity, and an unconfirmed value are all reported as BLOCK, never as a verified result. - Act only on
ALLOW. OnBLOCK, open the second channel withrepair_target, or route to a human. Never let aBLOCKfall through to the write.
What ships with it
13 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.
- assets/experience-a.call.json 2.3 KB
- assets/experience-a.input.json 326 B
- assets/experience-b.call.json 2.4 KB
- assets/experience-b.input.json 454 B
- assets/experience-d.call.json 2.3 KB
- assets/experience-d.input.json 392 B
- references/calle-handoff.md 4.0 KB
- references/examples.md 5.3 KB
- references/safety.md 3.9 KB
- scripts/preview_gate.py 4.4 KB runs code
- scripts/reconcile_call.py 3.1 KB runs code
- scripts/self_test.py 2.7 KB runs code
- scripts/verity_gate.py 30 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.
- 3d ago First seen · 85 lines · 90 tokens per session scan A 3af8679e2482
verity-verification-core is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (88 stars, last pushed yesterday), licensed MIT. It adds 90 tokens to every session and 1,199 once invoked, about $0.0005 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 2026-09-08.
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