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Agent skill
Call AI Disclosure Comprehension Auditor
Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked…
MITAuto-check passed
Install Call AI Disclosure Comprehension Auditor
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-ai-disclosure-comprehension-auditor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-ai-disclosure-comprehension-auditor --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-ai-disclosure-comprehension-auditor .claude/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .claude/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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-ai-disclosure-comprehension-auditorType 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-ai-disclosure-comprehension-auditor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-ai-disclosure-comprehension-auditor --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-ai-disclosure-comprehension-auditor .agents/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .agents/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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-ai-disclosure-comprehension-auditor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-ai-disclosure-comprehension-auditor --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-ai-disclosure-comprehension-auditor .cursor/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .cursor/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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-ai-disclosure-comprehension-auditor--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-ai-disclosure-comprehension-auditor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-ai-disclosure-comprehension-auditor --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-ai-disclosure-comprehension-auditor .gemini/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .gemini/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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-ai-disclosure-comprehension-auditorInstalls 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-ai-disclosure-comprehension-auditor -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-ai-disclosure-comprehension-auditor .github/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .github/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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-ai-disclosure-comprehension-auditor -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-ai-disclosure-comprehension-auditor --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-ai-disclosure-comprehension-auditor .opencode/skills/call-ai-disclosure-comprehension-auditor && 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-ai-disclosure-comprehension-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-ai-disclosure-comprehension-auditor into .opencode/skills/call-ai-disclosure-comprehension-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-ai-disclosure-comprehension-auditor", 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.
Facts
- Skill name
call-ai-disclosure-comprehension-auditor- GitHub stars
- 107
- Token cost
- ~1.2k tokens
- SKILL.md length
- 576 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked…
- SKILL.md covers When To Use, When Not To Use, Workflow and Scientific and Regulatory…, plus 1 more section
- Runs Python scripts from its folder; calls python3
What it does
Call AI Disclosure Comprehension Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked, and whether an acknowledgment was captured, plus a disclosure-first goal template. It is not legal advice, jurisdiction-specific compliance certification, or proof the person did or did not understand.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/example-transcript-no-check.json`, `references/example-transcript-undisclosed.json` and `references/example-transcript.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-ai-disclosure-comprehension-auditor”
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 AI Disclosure Comprehension Auditor loads about 1.2k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 110 tokens; SKILL.md has 576 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.
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). 576 words, ~1,240 tokens.
Download SKILL.mdSave it as
.claude/skills/call-ai-disclosure-comprehension-auditor/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- call-ai-disclosure-comprehension-auditor
- description
- Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked, and whether an acknowledgment was captured, plus a disclosure-first goal template. It is not legal advice, jurisdiction-specific compliance certification, or proof the person did or did not understand.
- license
- MIT
call-ai-disclosure-comprehension-auditor
Saying "this is an AI" is step one. Knowing it landed is the actual job.
call-review checks that a disclosure exists somewhere in the agent's
turns. This skill audits the full sequence the law and the research both
point at: disclosure in the first breath, an explicit comprehension
question before any pitch, and a captured acknowledgment - and it writes
the opening that produces that sequence next time.
When To Use
- after any CALL-E outbound call, to grade its disclosure posture
- before acting on a result where the callee's agreement matters - an agreement from someone who never knew an AI was speaking is fragile
- before placing calls, to craft an Article-50-style disclosure opening
When Not To Use
- to certify legal compliance for any jurisdiction; the verdicts are transcript observations, and regulators - not scripts - decide compliance
- to prove the person did not understand; silence after a disclosure is not evidence of confusion, and the card says so
- during a call; this is strictly post-call analysis plus pre-call goal crafting
Workflow
Audit a finished call
python3 scripts/disclosure_comprehension_auditor.py analyze --transcript path/to/call-result.jsonReads the real get_call_run result shape ({status, result: {transcript}})
or the flat shape used by sibling skill fixtures. Emits a card:
disclosure_present/disclosure_early(first agent turn vs later)comprehension_check_present- an explicit question ("do you understand", "is that okay", "does that make sense") in the disclosure turn or the next agent turn, BEFORE business content: if digits (dates, amounts, times) already appear in the disclosure turn, the pitch came first and the check does not countacknowledgment_captured- an affirmative callee reply in the first callee turn after the checkevidence: the disclosure / check / acknowledgment turns, maskedverdict:FULL/PARTIAL_NO_ACK/DISCLOSED_NO_CHECK/LATE_DISCLOSURE/UNDISCLOSED, plusunclearpaths for empty or agent-less transcripts
Only agent turns can disclose; a callee asking "are you a robot?" is not disclosure and does not count.
Craft the disclosure-first goal
python3 scripts/disclosure_comprehension_auditor.py craft --scenario disclosure-first-callEmits the plan_call inputs JSON whose goal puts the disclosure in the first sentence, pairs it with one comprehension question, and refuses to proceed to business until the person acknowledges.
Show full SKILL.md (241 more words)Show less
Scientific and Regulatory Foundation
| Source | Relevance |
|---|---|
| Regulation (EU) 2024/1689 (AI Act), Article 50 | The transparency obligation this skill operationalizes on the transcript axis: AI systems interacting with natural persons must inform them; applicable from 2026-08-02 |
| European Commission Guidelines on Transparency Obligations (digital-strategy.ec.europa.eu) | Official interpretation accompanying Article 50 |
| Chen et al., The impact of artificial intelligence disclosure on user engagement, Computers in Human Behavior 2024, doi:10.1016/j.chb.2024.108448 | Empirical evidence that disclosure measurably changes user engagement - so WHERE and HOW it lands matters, not just whether it exists |
| Chen, Sun et al., The Effects of AI Identity Disclosure on User Responses: A Meta-Analysis, Information Processing & Management 2026 (PII S0378720626001114) | Meta-analytic effect sizes of disclosure on evaluations, attitudes, intentions, behaviors |
Citation notes recorded during verification: the two Chen-lineage papers
are distinct (a 2024 individual study in CHB with the exact DOI above, and
a 2026 IP&M meta-analysis); Article 50 obligations apply from 2 August
2026. California's B.O.T. Act (SB 1001, 2018) covers bot disclosure in
the US and is consistent with this design but is not separately cited in
the table. This skill implements a lexical approximation and labels every
output analysis_mode: "heuristic".
Differences from sibling skills
call-reviewchecks disclosure presence as one compliance line; this skill grades the full disclosure-comprehension-acknowledgment sequence and writes the compliant opening for the next call.call-sycophancy-guardprotects factual integrity under pressure; this skill protects the conversational precondition - the person knowing who is talking - under which any agreement is meaningful.
© 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 7 other files (scripts, references) in skills/call-ai-disclosure-comprehension-auditor of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-transcript-no-check.json
- references/example-transcript-undisclosed.json
- references/example-transcript.json
- references/examples.md
- references/safety.md
- scripts/disclosure_comprehension_auditor.py
- scripts/test_disclosure_comprehension_auditor.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call AI Disclosure Comprehension Auditor 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 AI Disclosure Comprehension Auditor this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Baoyu Youtube TranscriptJimLiu/baoyu-skills | 27k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Youtube Transcriptbrowser-act/skills | 6.1k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Youtube Transcriptsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Transcription0xsline/OpenChatCut | 2.2k | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 | |
| Youtube Transcript Skillssickn33/agentic-awesome-skills | 47k | 1 repos | ~1.2k | Automated safety check: Pass | MIT |
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Questions about Call AI Disclosure Comprehension Auditor
What does Call AI Disclosure Comprehension Auditor do?
Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked…. Call AI Disclosure Comprehension Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that grades whether the agent disclosed being an AI, whether the disclosure came before business content, whether a comprehension question was asked, and whether an acknowledgment was captured, plus a disclosure-first goal template.
How do I install Call AI Disclosure Comprehension Auditor in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-ai-disclosure-comprehension-auditor -a claude-code`. Or copy the skill folder (skills/call-ai-disclosure-comprehension-auditor in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-ai-disclosure-comprehension-auditor in your project. Claude Code loads it when a task matches its description.
How do I install Call AI Disclosure Comprehension Auditor in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-ai-disclosure-comprehension-auditor -a codex`. Or copy the skill folder (skills/call-ai-disclosure-comprehension-auditor in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-ai-disclosure-comprehension-auditor in your project. Codex loads it when a task matches its description.
Can I use Call AI Disclosure Comprehension Auditor 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-ai-disclosure-comprehension-auditor -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-ai-disclosure-comprehension-auditor, .gemini/skills/call-ai-disclosure-comprehension-auditor, .github/skills/call-ai-disclosure-comprehension-auditor and .opencode/skills/call-ai-disclosure-comprehension-auditor in your project.
What does Call AI Disclosure Comprehension Auditor need to run?
Going by SKILL.md and its folder, Call AI Disclosure Comprehension Auditor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Call AI Disclosure Comprehension Auditor 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 AI Disclosure Comprehension Auditor 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 AI Disclosure Comprehension Auditor use?
Call AI Disclosure Comprehension Auditor 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 AI Disclosure Comprehension Auditor use?
About 1.2k tokens (SKILL.md is roughly 5k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Call AI Disclosure Comprehension Auditor?
Skills that share tags, products or a category with Call AI Disclosure Comprehension Auditor: Baoyu Youtube Transcript (JimLiu/baoyu-skills, 27k stars), Youtube Transcript (browser-act/skills, 6.1k stars), Youtube Transcript (sickn33/agentic-awesome-skills, 47k stars) and Transcription (0xsline/OpenChatCut, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Call AI Disclosure Comprehension Auditor?
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.