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-cross-call-consistency-checkergit 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-cross-call-consistency-checker)<a href="https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker/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-cross-call-consistency-checker"><img src="https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker.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 | $0.00080 | $0.01125 |
| Opus 5.5 | $0.00032 | $0.00450 |
| Sonnet 5.5 | $0.00016 | $0.00225 |
| Haiku 4.5 | $0.00008 | $0.00112 |
Grade A, and why
call-cross-call-consistency-checker 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 26d 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
call-cross-call-consistency-checker
Call someone twice and say two different things, and you were never really trusted the first time.
Every other skill in this repository analyzes one call. This one analyzes the space BETWEEN two calls to the same person: did the organization tell them the same price, the same date, the same time it told them before? Contradictions across calls are how campaigns lose people - each new call quietly rewrites reality, and the person on the line is the only one who notices.
When To Use
- when a destination has received two or more calls and any result from the latest one will be written somewhere
- before drafting the NEXT call to a person whose earlier call had disputed or confusing values
- to generate a consistency-guarded goal for the follow-up plan_call
When Not To Use
- to decide which call's value is true; the record (or a human with it) decides - this skill only routes to verification
- on calls to different destinations; comparing unrelated people's facts is meaningless
- as a memory system; it compares two transcripts you hand it, it stores nothing
- during a call; strictly post-call analysis plus pre-call goal crafting
Workflow
Compare two finished calls
python3 scripts/cross_call_consistency_checker.py analyze \
--transcript-a path/to/call-a.json --transcript-b path/to/call-b.json
Reads the real get_call_run result shape ({status, result: {transcript}})
or the flat fixture shape used by sibling skills. Emits a card:
comparisons[]per fact kind (amount/date_weekday/date_day/time; weekdays and day-of-months are separate sub-kinds so "Tuesday the 15th" vs "Wednesday the 15th" contradicts on the weekday instead of hiding behind the shared day number):CONSISTENTwith the shared values when the calls overlapCONTRADICTEDwhen both calls state the kind and share no valueONLY_STATEDwhen just one call mentions the kind
- Only AGENT turns are extracted: the organization's statements must stay consistent; the callee mentioning a different value is a correction, not a record
- Legitimate reschedules do not self-contradict: "we moved you from the 12th to the 15th" shares a value with a later call that says "the 15th"
verdict:CONTRADICTIONS_FOUND/CONSISTENT/NOTHING_TO_COMPARE, plusunclearpaths for empty or agent-less inputs- Values are normalized ($45 = "45 dollars"; Tuesday the 15th = weekday + ordinal; 2 p.m. = 1400) and masked in output
What ships with it
8 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.
- references/example-transcript-a.json 474 B
- references/example-transcript-b-consistent.json 463 B
- references/example-transcript-b-nocompare.json 455 B
- references/example-transcript-b.json 617 B
- references/examples.md 7.9 KB
- references/safety.md 1.6 KB
- scripts/cross_call_consistency_checker.py 12 KB runs code
- scripts/test_cross_call_consistency_checker.py 13 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.
- 26d ago First seen · 99 lines · 80 tokens per session scan A b57b88c0e5c4
call-cross-call-consistency-checker is a skill published in the GitHub repository CALLE-AI/awesome-phone-call-agents (109 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 1,125 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 2026-09-24.
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