Consistency Checker Across Manuscript
aipoch/medical-research-skills
Checks consistency across title, abstract, methods, results, figures, tables, and supplements to identify internal contradictions and version drift in biomedical manuscripts.
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…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .claude/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checkerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .agents/skills/call-cross-call-consistency-checker && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .agents/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .cursor/skills/call-cross-call-consistency-checker && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .cursor/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/CALLE-AI/awesome-phone-call-agents.git --path skills/call-cross-call-consistency-checker--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .gemini/skills/call-cross-call-consistency-checker && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .gemini/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checkerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .github/skills/call-cross-call-consistency-checker && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .github/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-cross-call-consistency-checker -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-cross-call-consistency-checker --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/call-cross-call-consistency-checker .opencode/skills/call-cross-call-consistency-checker && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "call-cross-call-consistency-checker" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-cross-call-consistency-checker into .opencode/skills/call-cross-call-consistency-checker/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-cross-call-consistency-checker", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
call-cross-call-consistency-checkerOffline 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. 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.
Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.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.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.
python3 scripts/cross_call_consistency_checker.py analyze \
--transcript-a path/to/call-a.json --transcript-b path/to/call-b.jsonReads 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 overlapCONTRADICTED when both calls state the kind and share no valueONLY_STATED when just one call mentions the kindverdict: CONTRADICTIONS_FOUND / CONSISTENT / NOTHING_TO_COMPARE,
plus unclear paths for empty or agent-less inputspython3 scripts/cross_call_consistency_checker.py craft --scenario consistency-guarded-callbackEmits 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.
| Research | Relevance |
|---|---|
| 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".
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
SKILL.md and 8 other files (scripts, references) in skills/call-cross-call-consistency-checker of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Call Cross Call Consistency Checker this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Consistency Checker Across Manuscriptaipoch/medical-research-skills | 1.9k | — | ~2.9k | Automated safety check: Pass | MIT | |
| Consistency Checkerfranklee16/academic-research-skills | 223 | — | ~2.6k | Automated safety check: Pass | None | |
| Comment Checkercode-yeongyu/oh-my-openagent | 70k | — | ~160 | Automated safety check: Pass | Custom licence | |
| Analyzing Offline EvaluationsPostHog/posthog | 40k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Experimental Designaiming-lab/AutoResearchClaw | 15k | — | ~286 | Automated safety check: Pass | MIT |
aipoch/medical-research-skills
Checks consistency across title, abstract, methods, results, figures, tables, and supplements to identify internal contradictions and version drift in biomedical manuscripts.
franklee16/academic-research-skills
Systematic pre-submission consistency audit for academic manuscripts in accounting/finance.
code-yeongyu/oh-my-openagent
A skill your agent uses when Codex needs to understand or respond to automatic comment-checker feedback emitted after an edit-like PostToolUse hook.
PostHog/posthog
Inspect and compare offline AI evaluation experiments, diagnose case-level regressions, and follow scorer history across application, model, or prompt changes.
aiming-lab/AutoResearchClaw
Best practices for designing reproducible ML experiments. An agent skill from aiming-lab/AutoResearchClaw.
Microck/ordinary-claude-skills
Validate consistency across SEED Design component documentation layers (design guidelines in ./docs/content/docs/components, Rootage specs in ./packages/rootage/components, and React docs in…
CALLE-AI/awesome-phone-call-agents
Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.
CALLE-AI/awesome-phone-call-agents
A skill your agent uses when an agent holds some evidence for a physical-world claim but the evidence is broader, narrower, or older than the exact question asked, and it must first decide whether a…
CALLE-AI/awesome-phone-call-agents
Call a venue and ask the accessibility questions that matter to one specific person — step-free entry, hearing loop, guide dogs, quiet hours, changing places — then return a per-need verdict backed…
CALLE-AI/awesome-phone-call-agents
Turns a pre-written, building-level location config into a CALL-E outbound phone-call task that guides a delivery driver through the last few hundred metres to a specific building using landmarks…
CALLE-AI/awesome-phone-call-agents
Turn cited business research into a bounded, approval-gated phone-call plan that asks only unresolved factual questions, then reconcile CALL-E-compatible results without treating voicemail, refusal…
CALLE-AI/awesome-phone-call-agents
Place a goal-driven CALL-E call that collects specific structured answers, score those answers against a deterministic rubric you supply, and conditionally trigger a follow-up action — all runnable…
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.