call-cross-call-consistency-checker

call-cross-call-consistency-checker is a skill for Claude Code, Codex from CALLE-AI/awesome-phone-call-agents. It costs 80 tokens per session (1,125 once invoked), scanned A, original, MIT.

A checker that compares amounts, dates, and times stated by an agent in two completed calls to the same person or organisation. It labels each fact as consistent, contradicted, or mentioned only once.

In plain words
What is it for?
Use it before recording the result of a later call or planning a follow-up. It helps identify facts that need confirmation across call transcripts.
Why use it?
Repeated calls can quietly give different information, creating confusion and unreliable records. The checker finds differences but does not decide which statement is true.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before recording the result of a later call or planning a follow-up. It helps identify facts that need confirmation across call transcripts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker
Install

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.

Any agent
npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker
Clone the repo
git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for call-cross-call-consistency-checker

README.md
[![agentmods](https://agentmods.dev/badge/skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker/github.svg)](https://agentmods.dev/skills/calle-ai/awesome-phone-call-agents/call-cross-call-consistency-checker)
Your own site
<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.

agentmods 80×15 button for call-cross-call-consistency-checker

Your own site · 80×15
<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>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,125 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 26d ago against content hash b57b88c0e5c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/cross_call_consistency_checker.py, scripts/test_cross_call_consistency_checker.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/call-cross-call-consistency-checker/SKILL.md · 99 lines

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):
    • CONSISTENT with the shared values when the calls overlap
    • CONTRADICTED when both calls state the kind and share no value
    • ONLY_STATED when 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, plus unclear paths 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

Read the full file on GitHub · 99 lines

Changes

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.

  1. 26d ago First seen · 99 lines · 80 tokens per session scan A b57b88c0e5c4

Subscribe to this mod's changes

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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