Meeting Notes
outline/outline
Create meeting notes in Outline from a template; use when the user wants an agenda, notes, or a follow-up document for a meeting.
Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags…
Install Call Leading Question Guard
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-leading-question-guard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-leading-question-guard --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-leading-question-guard .claude/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .claude/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guardType 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-leading-question-guard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-leading-question-guard --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-leading-question-guard .agents/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .agents/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-leading-question-guard --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-leading-question-guard .cursor/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .cursor/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guard--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-leading-question-guard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-leading-question-guard --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-leading-question-guard .gemini/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .gemini/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guardInstalls 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-leading-question-guard -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-leading-question-guard .github/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .github/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guard -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-leading-question-guard --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-leading-question-guard .opencode/skills/call-leading-question-guard && 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-leading-question-guard" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-leading-question-guard into .opencode/skills/call-leading-question-guard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-leading-question-guard", 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-leading-question-guard- GitHub stars
- 107
- Token cost
- ~1.1k tokens
- SKILL.md length
- 525 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags…
- Tasks that involve Meeting notes and agendas
- 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 Leading Question Guard is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags values affirmed under leading forms as tainted elicitation, and emits a neutral-elicitation goal template. It is not proof an answer was coerced, intent detection, or authorization to act automatically.
Its SKILL.md is about 1.1k 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-leading-untainted.json`, `references/example-transcript-neutral.json` and `references/example-transcript.json`).
It sits in Productivity & Automation, covering Meeting notes and agendas. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Meeting notes and agendas
Example prompts
- “/call-leading-question-guard”
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 Leading Question Guard loads about 1.1k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 525 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). 525 words, ~1,131 tokens.
Download SKILL.mdSave it as
.claude/skills/call-leading-question-guard/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- call-leading-question-guard
- description
- Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags values affirmed under leading forms as tainted elicitation, and emits a neutral-elicitation goal template. It is not proof an answer was coerced, intent detection, or authorization to act automatically.
- license
- MIT
call-leading-question-guard
A leading question does not ask - it instructs the answer, then collects a signature.
How a question is worded shapes what comes back. "What day works best for you?" and "You can pick up on Friday, right?" are both questions, but only one hands the person a decision; the other hands them a form to sign. On a phone call, where answers are spoken and immediately acted on, that wording pressure can end up driving bookings and record updates. This skill grades the agent's interrogation wording, not the callee's answers.
When To Use
- after any CALL-E call where the agent elicits decisions (dates, times, amounts, plan choices) from the person
- when a recorded value was affirmed immediately after an agent question and you want to know how the question was framed
- before placing calls, to craft a neutral-elicitation goal that opens open-form and confirms in bounded closed form
- as a review aid alongside sibling conduct skills on the same transcript
When Not To Use
- on the callee's questions - only agent turns are scanned
- to prove coercion; a flagged form is not proof the answer was coerced, and a confident person may genuinely agree - the card routes to review, always
- during a call; strictly post-call analysis plus pre-call goal crafting
- non-English transcripts; the form families are English lexical patterns
Workflow
Audit a finished call
python3 scripts/leading_question_guard.py analyze \
--transcript path/to/call-result.jsonReads the real get_call_run result shape ({status, result: {transcript}})
or the flat fixture shape used by sibling skill fixtures; no goal file
is needed. Emits a card:
questions[]: every agent question sentence, classified asTAG/NEGATIVE_INTERROGATIVE/PRESUPPOSITION/COERCIVE(leading) orOPEN/CLOSED(neutral)tainted_elicitation[]: values the callee affirmed (affirmation word plus a weekday, ordinal date, amount, or clock time in the same turn) within two turns of a leading question - candidates for neutral re-confirmation, never auto-invalidationsverdict:NEUTRAL_ELICITATION/LEADING_QUESTIONS_DETECTED/LEADING_TAINTED/NO_QUESTIONS_ASKED, plusunclearpaths (empty transcript, no agent turns)
Show full SKILL.md (212 more words)Show less
Craft the neutral goal
python3 scripts/leading_question_guard.py craft --scenario neutral-elicitationEmits the plan_call inputs JSON whose goal opens with an open question, lets the person answer in their own words, confirms in bounded closed form, and never re-asks a declined question in leading form.
Scientific Foundation
| Research | Relevance |
|---|---|
| Reconstruction of automobile destruction: An example of the interaction between language and memory (Loftus & Palmer, Journal of Verbal Learning and Verbal Behavior 13(5):585-589, 1974, doi 10.1016/S0022-5371(74)80011-3) | Foundational demonstration that question wording changes elicited answers - our question-form families operationalize wording pressure for calls |
| The yes-no bias of large language models reflects answer order and wording, not shifts in moral judgment (Huang, arXiv 2607.05552, 2026) | Question wording and answer-order effects measured on LLM respondents - wording pressure is real even against machine interlocutors |
Citation notes recorded during verification: both citations above were
web-verified on 2026-10-01 with the exact journal/DOI and arXiv IDs as
listed. This skill compares lexical question forms only, has no access
to intent or tone, and labels every output analysis_mode: "heuristic".
Differences from sibling skills
call-sycophancy-guardcatches the agent folding under the person's pushback; this skill catches the agent structuring questions to manufacture agreement in the first place.call-agent-certainty-calibratorgrades assertion wording; this skill grades interrogation wording.call-reviewchecks result-field support and compliance; question FORM is out of its scope.
© 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-leading-question-guard of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-goal.txt
- references/example-transcript-leading-untainted.json
- references/example-transcript-neutral.json
- references/example-transcript.json
- references/examples.md
- references/safety.md
- scripts/leading_question_guard.py
- scripts/test_leading_question_guard.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call Leading Question Guard 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 Leading Question Guard this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Meeting Notesoutline/outline | 41k | — | ~551 | Automated safety check: Pass | Custom licence | |
| Management Talkthananon/9arm-skills | 3.2k | — | ~3.2k | Automated safety check: Pass | None | |
| Challenge Baseline ModelAgibotTech/genie_sim | 1.4k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Handwriting Stand Uplimin112/min-skill | 454 | — | ~2.5k | Automated safety check: Pass | None | |
| Daily Journalravila4/claude-adhd-skills | 158 | — | ~2.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Call Leading Question Guard
What does Call Leading Question Guard do?
Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags…. Call Leading Question Guard is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E phone call transcript skill that classifies agent questions into leading forms (tag questions, negative interrogatives, presupposition triggers, coercive framing), flags values affirmed under leading forms as tainted elicitation, and emits a neutral-elicitation goal template.
When should I use Call Leading Question Guard?
Call Leading Question Guard fits situations like: tasks that involve Meeting notes and agendas.
How do I install Call Leading Question Guard in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-leading-question-guard -a claude-code`. Or copy the skill folder (skills/call-leading-question-guard in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-leading-question-guard in your project. Claude Code loads it when a task matches its description.
How do I install Call Leading Question Guard in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-leading-question-guard -a codex`. Or copy the skill folder (skills/call-leading-question-guard in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-leading-question-guard in your project. Codex loads it when a task matches its description.
Can I use Call Leading Question Guard 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-leading-question-guard -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-leading-question-guard, .gemini/skills/call-leading-question-guard, .github/skills/call-leading-question-guard and .opencode/skills/call-leading-question-guard in your project.
What does Call Leading Question Guard need to run?
Going by SKILL.md and its folder, Call Leading Question Guard needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Call Leading Question Guard 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 Leading Question Guard 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 Leading Question Guard use?
Call Leading Question Guard 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 Leading Question Guard use?
About 1.1k tokens (SKILL.md is roughly 4.5k 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 2.4k tokens, read only when the agent opens those files.
What are the alternatives to Call Leading Question Guard?
Skills that share tags, products or a category with Call Leading Question Guard: Meeting Notes (outline/outline, 41k stars), Management Talk (thananon/9arm-skills, 3.2k stars), Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars) and Handwriting Stand Up (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Call Leading Question Guard?
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.