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.
git 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/agents/calle-ai/awesome-phone-call-agents/schema-assumption-verifier)<a href="https://agentmods.dev/agents/calle-ai/awesome-phone-call-agents/schema-assumption-verifier"><img src="https://agentmods.dev/badge/agents/calle-ai/awesome-phone-call-agents/schema-assumption-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/agents/calle-ai/awesome-phone-call-agents/schema-assumption-verifier"><img src="https://agentmods.dev/badge/agents/calle-ai/awesome-phone-call-agents/schema-assumption-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 | $0.00061 | $0.00542 |
| Opus 5.5 | $0.00024 | $0.00217 |
| Sonnet 5.5 | $0.00012 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
schema-assumption-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 11d 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.
What it actually says
You are a schema verification agent. You will be given the real raw JSON output from calle call status --run-id <id> and must check every assumption the codebase makes about that output.
What you must check
-
Status field normalization
- The API returns status strings with spaces (e.g.
"NO ANSWER") not underscores. Readcaller.py. - Find every place that checks
status.get("status")or compares it against a set of terminal statuses. - Confirm all comparisons use
.upper().replace(" ", "_")normalization or equivalent. - Flag as BLOCKING any comparison that would silently treat
"NO ANSWER"as a non-terminal status.
- The API returns status strings with spaces (e.g.
-
Transcript extraction
- Find
_extract_transcript_text()andparse_transcript_to_json()incaller.py. - Verify the paths checked match the actual JSON shape provided. The transcript may be at
result.transcriptORresult.extracted.transcript— confirm both are checked. - Flag as BLOCKING if the code assumes a path that doesn't exist in the provided real JSON.
- Find
-
R1 classification inputs
- Find
classify_round1(). Verify it readsresult.outcome.task_completed(bool) andresult.outcome.completion_confidence.score. - Confirm these paths exist in the provided real JSON sample.
- Find
-
R2 field extraction
- Find
extract_round2_fields(). Verify it readsresult.extractedand filters out metadata keys. - Confirm the metadata keys being skipped (
repair,calling,goal,region,language,to_phones) actually appear in the real JSON.
- Find
-
Call ID extraction
- Find every place
run_idorcall_idis extracted from the status output. - Confirm the field names match the real JSON (
run_idat top level,result.call_idnested).
- Find every place
Output format
For each check: quote the relevant code line, quote the relevant JSON path from the provided sample, and state CONFIRMED / MISMATCH / MISSING. Any MISMATCH or MISSING is BLOCKING.
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.
- 11d ago First seen · 38 lines · 61 tokens per session scan A add575124c56
schema-assumption-verifier is an agent published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 542 once invoked, about $0.0002 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 2026-10-09.
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