Agent skill

Call Cross Call Consistency Checker

by CALLE-AI in CALLE-AI/awesome-phone-call-agents

Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED…

MITAuto-check passed

Install Call Cross Call Consistency Checker

skills CLI
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .claude/skills/call-cross-call-consistency-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
call-cross-call-consistency-checker
GitHub stars
107
Token cost
~1.2k tokens
SKILL.md length
579 words
Files
9 (incl. scripts, references)
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED…

  • SKILL.md covers When To Use, When Not To Use, Workflow and Scientific Foundation, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

Call Cross Call Consistency Checker is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED, or ONLYSTATED, plus a consistency-guarded goal template. It is not proof either call lied, a record of truth, or authorization for another call.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/example-transcript-a.json`, `references/example-transcript-b-consistent.json` and `references/example-transcript-b-nocompare.json`).

The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.

Example prompts

  • “/call-cross-call-consistency-checker”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Call Cross Call Consistency Checker loads about 1.2k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 579 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 579 words, ~1,210 tokens.

Download SKILL.mdSave it as .claude/skills/call-cross-call-consistency-checker/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.
name
call-cross-call-consistency-checker
description
Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED, or ONLY_STATED, plus a consistency-guarded goal template. It is not proof either call lied, a record of truth, or authorization for another call.
license
MIT

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
bash
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
Show full SKILL.md (222 more words)Show less
Craft the consistency-guarded goal
bash
python3 scripts/cross_call_consistency_checker.py craft --scenario consistency-guarded-callback

Emits the plan_call inputs JSON whose goal makes the agent state values with their source, acknowledge discrepancies instead of silently picking a side, and never close a call with two unreconciled values.

Scientific Foundation

ResearchRelevance
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents (Tan et al., ACL 2025, arXiv 2502.00299)Long-term dialogue agents must keep personalized facts stable across sessions; our cross-call comparison is the transcript-side audit of exactly that property
Truth-Maintained Memory Agent: Proactive Quality Control for Reliable Long-Context Dialogue (Phadke, Guo, Koch et al., NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models, OpenReview)Write-time quality control against false and contradictory memory; our CONTRADICTED routing is the call-records analogue

Citation notes recorded during verification: the RMM paper's full title begins "In Prospect and Retrospect:"; the TMMA paper is a NeurIPS 2025 WORKSHOP paper (not main conference), stated as such. This skill compares two transcripts lexically and labels every output analysis_mode: "heuristic".

Differences from sibling skills

  • call-state-reconciler reconciles platform signals (status, task_completed, confidence) within one call; this skill reconciles human-readable facts across two calls.
  • adherence-memory-callback remembers callers to make its own calls smarter; this skill audits any two transcripts for organizational consistency and stores nothing.
  • call-sycophancy-guard catches the agent folding within a call; this skill catches the organization drifting between calls.

© CALLE-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 8 other files (scripts, references) in skills/call-cross-call-consistency-checker of CALLE-AI/awesome-phone-call-agents.

  • SKILL.md
  • references/example-transcript-a.json
  • references/example-transcript-b-consistent.json
  • references/example-transcript-b-nocompare.json
  • references/example-transcript-b.json
  • references/examples.md
  • references/safety.md
  • scripts/cross_call_consistency_checker.py
  • scripts/test_cross_call_consistency_checker.py

Open the folder on GitHubat commit 38d4118

Compare with similar skills

Call Cross Call Consistency Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Call Cross Call Consistency Checker compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Call Cross Call Consistency Checker this skillCALLE-AI/awesome-phone-call-agents107—~1.2kAutomated safety check: PassMIT
Consistency Checker Across Manuscriptaipoch/medical-research-skills1.9k—~2.9kAutomated safety check: PassMIT
Consistency Checkerfranklee16/academic-research-skills223—~2.6kAutomated safety check: PassNone
Comment Checkercode-yeongyu/oh-my-openagent70k—~160Automated safety check: PassCustom licence
Analyzing Offline EvaluationsPostHog/posthog40k—~1.6kAutomated safety check: PassCustom licence
Experimental Designaiming-lab/AutoResearchClaw15k—~286Automated safety check: PassMIT

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Questions about Call Cross Call Consistency Checker

What does Call Cross Call Consistency Checker do?

Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED…. Call Cross Call Consistency Checker is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E helper that compares amounts, dates, and times stated by the agent across two finished calls to the same destination and grades each fact kind CONSISTENT, CONTRADICTED, or ONLYSTATED, plus a consistency-guarded goal template.

How do I install Call Cross Call Consistency Checker in Claude Code?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a claude-code`. Or copy the skill folder (skills/call-cross-call-consistency-checker in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-cross-call-consistency-checker in your project. Claude Code loads it when a task matches its description.

How do I install Call Cross Call Consistency Checker in Codex?

Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a codex`. Or copy the skill folder (skills/call-cross-call-consistency-checker in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-cross-call-consistency-checker in your project. Codex loads it when a task matches its description.

Can I use Call Cross Call Consistency Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-cross-call-consistency-checker, .gemini/skills/call-cross-call-consistency-checker, .github/skills/call-cross-call-consistency-checker and .opencode/skills/call-cross-call-consistency-checker in your project.

What does Call Cross Call Consistency Checker need to run?

Going by SKILL.md and its folder, Call Cross Call Consistency Checker needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Call Cross Call Consistency Checker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Call Cross Call Consistency Checker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Call Cross Call Consistency Checker use?

Call Cross Call Consistency Checker is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Call Cross Call Consistency Checker use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.9k tokens, read only when the agent opens those files.

What are the alternatives to Call Cross Call Consistency Checker?

Skills that share tags, products or a category with Call Cross Call Consistency Checker: Consistency Checker Across Manuscript (aipoch/medical-research-skills, 1.9k stars), Consistency Checker (franklee16/academic-research-skills, 223 stars), Comment Checker (code-yeongyu/oh-my-openagent, 70k stars) and Analyzing Offline Evaluations (PostHog/posthog, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Call Cross Call Consistency Checker?

CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.

Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.