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Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLYCLEAR or EVASIVE with dodge mechanisms, and…
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Install Call Answer Evasion Auditor
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-answer-evasion-auditor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-answer-evasion-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-answer-evasion-auditor .claude/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .claude/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-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-answer-evasion-auditor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-answer-evasion-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-answer-evasion-auditor .agents/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .agents/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-auditor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-answer-evasion-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-answer-evasion-auditor .cursor/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .cursor/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-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-answer-evasion-auditor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-answer-evasion-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-answer-evasion-auditor .gemini/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .gemini/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-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-answer-evasion-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-answer-evasion-auditor .github/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .github/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-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-answer-evasion-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-answer-evasion-auditor .opencode/skills/call-answer-evasion-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-answer-evasion-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-answer-evasion-auditor into .opencode/skills/call-answer-evasion-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-answer-evasion-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-answer-evasion-auditor- GitHub stars
- 107
- Token cost
- ~1.7k tokens
- SKILL.md length
- 825 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLYCLEAR or EVASIVE with dodge mechanisms, and…
- SKILL.md covers When To Use, What It Checks, Grading Rules and Research Grounding, plus 2 more sections
- Runs Python scripts from its folder; calls python3
What it does
Call Answer Evasion Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLYCLEAR or EVASIVE with dodge mechanisms, and crafts answer-first goal templates. It is not intent detection, proof of deceit, or authorization to act.
Its SKILL.md is about 1.7k 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-evasive.json`, `references/example-transcript-partial.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-answer-evasion-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
Links to these hosts (documentation or services it may open):
aclanthology.org
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 Answer Evasion Auditor loads about 1.7k tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 82 tokens; SKILL.md has 825 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). 825 words, ~1,661 tokens.
Download SKILL.mdSave it as
.claude/skills/call-answer-evasion-auditor/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- call-answer-evasion-auditor
- description
- Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLY_CLEAR or EVASIVE with dodge mechanisms, and crafts answer-first goal templates. It is not intent detection, proof of deceit, or authorization to act.
- license
- MIT
call-answer-evasion-auditor
A callee who asks a straight question deserves a straight answer.
On a voice call, a dodged question is louder than a wrong one. A caller who asks "are you a robot?" and hears "great question!" stops trusting every sentence that follows; a caller who asks "how did you get my number?" and hears a counter-question hangs up. Evasion destroys more calls than imperfect information does, because it is audible as evasion. This skill audits the agent's answers to every direct question the callee asked.
Grading is lexical, derived from the QEvasion response-clarity taxonomy: each callee question (identity, yes-no, or information/wh) is graded against the next two agent turns as CLEAR, PARTIALLY_CLEAR, or EVASIVE, with a mechanism label for every non-clear answer. It is wording analysis, not intent detection.
When To Use
- after any CALL-E call where the callee asked direct questions and the transcript should show candid answers
- when reviewing whether identity ("are you a robot?"), provenance ("how did you get my number?"), or commitment questions were answered or dodged
- before placing calls, to craft an answer-first goal template with a canned truthful identity answer and a provenance line
- alongside
call-repair-sequence-auditor, which owns bare repair initiators ("Sorry, what was that?") that this skill skips
What It Checks
Questions asked by the callee only; agent questions are never graded.
| Verdict | Meaning |
|---|---|
DIRECT_ANSWERS | every callee question answered clearly |
PARTIAL_EVASION | some answer arrived, but not as the direct reply (e.g. a yes/no token buried after an acknowledgment) |
EVASION_DETECTED | at least one question received no clear answer |
NO_CALLEE_QUESTIONS | the callee asked nothing gradeable |
| Mechanism (evasive/partial answers) | Meaning |
|---|---|
identity_evasion | an identity question got no truthful AI/self disclosure |
deflection | the window contains a counter-question instead of an answer |
non_answer_ack | "great question" style acknowledgment with no answer |
defer | "we'll get to that" / "as I mentioned" postponement |
unanswered | agent turns exist but none address the question |
no_response | no agent turn follows the question |
Question kinds: identity (mentions robot/AI/automated/real person),
yes_no, wh (who/what/when/where/why/how/which/whose/whom - also the
fallback when ASR drops the "?").
Grading Rules
The answer window is the next TWO agent turns after the question turn,
stopping early if the callee asks a new question; no window at all
grades EVASIVE (no_response). Identity questions are
CLEAR only on a truthful AI/self disclosure; "I don't know" never clears
them. Explicit not-knowing ("I am not sure", "I don't know") clears any
non-identity question; identity questions are never cleared by
not-knowing. Yes/no questions are CLEAR only when the yes/no token
(an explicit negative such as "I am not" or "we won't" counts) leads the
first sentence of the first window turn; a token found later in the
window grades PARTIALLY_CLEAR. Information (wh) questions are CLEAR on
provenance wording, a plain not-knowing statement, or a concrete amount.
When one callee turn asks several questions, each question sentence is graded
individually: a clear answer to one never lifts an evasive answer to
another. All lexicons match uncontracted forms too ("we will", "i am").
Show full SKILL.md (335 more words)Show less
Research Grounding
- Thomas, Filandrianos, Lymperaiou, Zerva, Stamou - "'I Never Said That': A dataset, taxonomy and baselines on response clarity classification" - Findings of the ACL: EMNLP 2024 - https://aclanthology.org/2024.findings-emnlp.300 - the QEvasion dataset and its two-level clarity taxonomy, which our CLEAR/PARTIALLY_CLEAR/EVASIVE grades derive from.
- Thomas, Filandrianos, Lymperaiou, Zerva, Stamou - "SemEval-2026 Task 6: CLARITY - Unmasking Political Question Evasions" - arXiv:2603.14027 (2026) - a shared task validating evasion grading as a benchmark problem.
- Ma, Lin, Yang - "EvasionBench: A Large-Scale Benchmark for Detecting Managerial Evasion in Earnings Call Q&A" - arXiv:2601.09142 (2026) - three-level evasion grading in a second domain.
- Kim, Jeong, Kwak - "A Shaky Voice Is Not Always a Dodge: Benchmarking Textual and Vocal Evasion Detection in Earnings Calls" - arXiv:2608.28040 (2026) - DualEvasion; text cues, not vocal ones, carry the signal, which grounds our text-only posture.
Limitations
- English-only lexicons; wording-based, so an EVASIVE grade is evidence of wording, never of intent to deceive.
- ASR frequently drops the "?" token; the wh-word start fallback catches most information questions, but yes/no questions reduced to statement word order may be missed.
- Bare repair initiators ("What?", "Sorry, what was that?") are
delegated to
call-repair-sequence-auditorand skipped here, whether they form the whole turn or one sentence inside a longer questioning turn; the remaining question sentences in that turn are still graded. - Amount detection reads
$<digits>and "<digits>dollars" only; number-word amounts ("twenty dollars") are not parsed. An amount anywhere in the window clears a wh question even when it does not answer the question asked. - Social wh openers like "What's up?" are not in the repair-initiator skip list and are graded like information questions.
- Provenance matching is deliberately generous: any record-attribution phrase such as "your reservation shows..." clears a wh question.
turn_indexrefers to the normalized turn list (after non-dict entries are dropped), not the raw transcript array.
Usage
python3 skills/call-answer-evasion-auditor/scripts/answer_evasion_auditor.py analyze --transcript <call-result.json>
python3 skills/call-answer-evasion-auditor/scripts/answer_evasion_auditor.py craft --scenario booking-candidanalyze accepts the real get_call_run result shape
({status, result: {transcript}}), the flat fixture shape, or a bare
string transcript, and exits 2 on missing/invalid input. See
references/examples.md for real outputs against the shipped fixtures
and references/safety.md for scope and data-handling notes.
© 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-answer-evasion-auditor of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-goal.txt
- references/example-transcript-evasive.json
- references/example-transcript-partial.json
- references/example-transcript.json
- references/examples.md
- references/safety.md
- scripts/answer_evasion_auditor.py
- scripts/test_answer_evasion_auditor.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call Answer Evasion 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 Answer Evasion Auditor this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.7k | 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 Answer Evasion Auditor
What does Call Answer Evasion Auditor do?
Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLYCLEAR or EVASIVE with dodge mechanisms, and…. Call Answer Evasion Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that grades agent answers to callee direct questions (identity, yes-no, information) as CLEAR, PARTIALLYCLEAR or EVASIVE with dodge mechanisms, and crafts answer-first goal templates.
How do I install Call Answer Evasion Auditor in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-answer-evasion-auditor -a claude-code`. Or copy the skill folder (skills/call-answer-evasion-auditor in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-answer-evasion-auditor in your project. Claude Code loads it when a task matches its description.
How do I install Call Answer Evasion Auditor in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-answer-evasion-auditor -a codex`. Or copy the skill folder (skills/call-answer-evasion-auditor in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-answer-evasion-auditor in your project. Codex loads it when a task matches its description.
Can I use Call Answer Evasion 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-answer-evasion-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-answer-evasion-auditor, .gemini/skills/call-answer-evasion-auditor, .github/skills/call-answer-evasion-auditor and .opencode/skills/call-answer-evasion-auditor in your project.
What does Call Answer Evasion Auditor need to run?
Going by SKILL.md and its folder, Call Answer Evasion 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 Answer Evasion Auditor access the network?
SKILL.md names 1 domain. As links in the text: aclanthology.org. This is read from the text; nothing was executed.
Is Call Answer Evasion 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 Answer Evasion Auditor use?
Call Answer Evasion 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 Answer Evasion Auditor use?
About 1.7k tokens (SKILL.md is roughly 6.6k 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 Answer Evasion Auditor?
Skills that share tags, products or a category with Call Answer Evasion 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 Answer Evasion 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.