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Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy…
Install Call Disfluency Stress Profiler
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-disfluency-stress-profiler -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-disfluency-stress-profiler --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-disfluency-stress-profiler .claude/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .claude/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profilerType 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-disfluency-stress-profiler -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-disfluency-stress-profiler --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-disfluency-stress-profiler .agents/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .agents/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profiler -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-disfluency-stress-profiler --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-disfluency-stress-profiler .cursor/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .cursor/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profiler--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-disfluency-stress-profiler -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-disfluency-stress-profiler --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-disfluency-stress-profiler .gemini/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .gemini/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profilerInstalls 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-disfluency-stress-profiler -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-disfluency-stress-profiler .github/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .github/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profiler -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-disfluency-stress-profiler --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-disfluency-stress-profiler .opencode/skills/call-disfluency-stress-profiler && 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-disfluency-stress-profiler" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-disfluency-stress-profiler into .opencode/skills/call-disfluency-stress-profiler/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-disfluency-stress-profiler", 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-disfluency-stress-profiler- GitHub stars
- 107
- Token cost
- ~1.4k tokens
- SKILL.md length
- 611 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy…
- Tasks that involve Performance optimization
- SKILL.md covers When To Use, When Not To Use, Workflow and Research Background, plus 1 more section
- Runs Python scripts from its folder; calls python3
What it does
Call Disfluency Stress Profiler is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy, then emits a reassurance-paced follow-up call goal. It is not a clinical stress assessment, a proof of speaker intent, or authorization to act automatically.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/example-transcript-normal.json`, `references/example-transcript-stressed.json` and `references/examples.md`).
It sits in Development, covering Performance optimization. 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 Performance optimization
Example prompts
- “/call-disfluency-stress-profiler”
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 Disfluency Stress Profiler loads about 1.4k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 611 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). 611 words, ~1,437 tokens.
Download SKILL.mdSave it as
.claude/skills/call-disfluency-stress-profiler/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- call-disfluency-stress-profiler
- description
- Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy, then emits a reassurance-paced follow-up call goal. It is not a clinical stress assessment, a proof of speaker intent, or authorization to act automatically.
- license
- MIT
call-disfluency-stress-profiler
Repeated pauses and repairs can be useful prompts for human review, but do not establish a speaker's emotional state or knowledge.
Spoken conversation carries signals that plain transcripts still preserve:
disfluency. When a callee is stressed, confused, or overwhelmed, their
filled-pause rate (uh, um, er) and self-repair frequency (I mean,
actually, word repetitions) spike measurably above baseline. When an agent
encounters questions outside its prepared knowledge, the same markers appear
in its turns.
This skill reads the finished get_call_run transcript, computes per-side
disfluency rates, and flags CALLEE_STRESSED or AGENT_HESITANT when rates
cross illustrative, unvalidated demo thresholds. It then offers a reassurance-paced follow-up
call goal or a script-review recommendation.
When To Use
- after any CALL-E call where the contact seemed distressed or uncertain
- as part of a QA pipeline to detect agent knowledge gaps at scale
- in healthcare, collections, or support workflows where caller distress carries legal or ethical weight
- to identify topics that consistently cause agent hesitancy (→ update scripts)
When Not To Use
- as a clinical or psychological stress assessment
- during a call; strictly post-call analysis plus pre-call goal crafting
- as the sole basis for medical or legal decisions
- on languages other than English; the lexicon is English-only
Workflow
Audit a finished call
python3 scripts/disfluency_stress_profiler.py analyze \
--transcript path/to/call-result.jsonReads the real get_call_run result shape or the flat fixture shape. Emits
a disfluency card:
agent_profile/callee_profile: per-side stats includingtotal_words,total_markers,disfluency_rate, andper_turn_countsflags[]:CALLEE_STRESSEDand/orAGENT_HESITANTwhen rates exceed their respective thresholdsverdict:NORMAL/CALLEE_STRESSED/AGENT_HESITANT/BOTH_STRESSED, plusunclearpathsrecommended_action: one ofno_action_required,reassurance_followup,review_agent_script, orreassurance_followup_and_script_reviewdisclaimer: heuristic advisory disclaimer on every card
Thresholds (defaults)
| Side | Threshold | Flag triggered |
|---|---|---|
| Callee | 8% disfluency rate | CALLEE_STRESSED |
| Agent | 6% disfluency rate | AGENT_HESITANT |
Disfluency markers detected
| Category | Examples |
|---|---|
| Filled pauses | uh, um, er, eh, ah, hmm |
| Self-repairs | I mean, actually, no wait, to rephrase |
| Repetitions | I I, the the, we we |
| Hesitation openers | well, , so, , you know, at clause start |
Craft the reassurance follow-up goal
python3 scripts/disfluency_stress_profiler.py craft --scenario reassurance-followupEmits the plan_call inputs JSON whose goal instructs the next call to
adopt a calm, unhurried pace, pause after each question, acknowledge concerns
explicitly, and ask one question per turn.
Show full SKILL.md (261 more words)Show less
Research Background
These references provide conceptual background, not validation of this regex implementation or its 8%/6% defaults. Disfluency has many causes; the labels are advisory review cues, not measured stress or competence.
| Research | Relevance |
|---|---|
| Shriberg, E. — Preliminaries to a Theory of Speech Disfluencies (PhD Thesis, UC Berkeley, 1994) | Gold-standard taxonomy for filled pauses, repetitions, and repairs in spoken dialogue; direct source for the marker categories in this skill |
| Levelt, W.J.M. — Monitoring and Self-Repair in Speech (Cognition, Vol. 14, 1983, doi:10.1016/0010-0277(83)90026-4) | Theory of self-repair: speakers monitor their own speech and repair when cognitive load is high; repair rate correlates with stress and difficulty |
| Kumar et al. — Mind the Pause: Disfluency-Aware Objective Tuning for Multilingual Speech Correction with LLMs (ACL 2026, arXiv:2605.12242) | Confirms that disfluency detection from text transcripts is technically feasible with high accuracy; provides methodology basis for lexical marker detection |
| Ngo et al. — "Mm, Wat?" Detecting Other-initiated Repair Requests in Dialogue (EMNLP 2025) | Studies multimodal repair-initiation detection in Dutch dialogues; it does not validate this skill's stress thresholds |
| CALL-E Official Documentation — Transcript Structure and get_call_run Result Schema (docs.heycall-e.com) | Defines the exact JSON shapes this skill parses: transcript[].speaker, transcript[].text, and the nested result wrapper |
This skill implements a lexical/regex heuristic against the defined marker
taxonomy. It does not use model internals and labels every output
analysis_mode: "heuristic".
Differences from sibling skills
call-verbal-irony-detectordetects semantic incongruence (sarcasm/irony); this skill measures prosodic-cognitive load signals visible in text.call-semantic-barge-in-analyzermeasures interruption patterns; this skill measures hesitancy within un-interrupted turns.call-agent-certainty-calibratorgrades agent fact-statement accuracy; this skill grades conversational fluency and stress level on both sides.
© 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 6 other files (scripts, references) in skills/call-disfluency-stress-profiler of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-transcript-normal.json
- references/example-transcript-stressed.json
- references/examples.md
- references/safety.md
- scripts/disfluency_stress_profiler.py
- scripts/test_disfluency_stress_profiler.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call Disfluency Stress Profiler 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 Disfluency Stress Profiler this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Pycrazyguitar/pysheeet | 8.2k | — | ~886 | Automated safety check: Pass | MIT | |
| Cmux Debugging Guidemanaflow-ai/cmux | 28k | 1 repos | ~1.1k | Automated safety check: Pass | Custom licence | |
| Analyzing .NET Performancedotnet/skills | 5.6k | 3 repos | ~3.1k | Automated safety check: Pass | MIT |
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Categories
Questions about Call Disfluency Stress Profiler
What does Call Disfluency Stress Profiler do?
Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy…. Call Disfluency Stress Profiler is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline heuristic CALL-E transcript skill that measures filled-pause, self-repair, repetition, and hesitation-opener rates per speaker side to detect callee stress and agent knowledge-gap hesitancy, then emits a reassurance-paced follow-up call goal.
When should I use Call Disfluency Stress Profiler?
Call Disfluency Stress Profiler fits situations like: tasks that involve Performance optimization.
How do I install Call Disfluency Stress Profiler in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-disfluency-stress-profiler -a claude-code`. Or copy the skill folder (skills/call-disfluency-stress-profiler in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-disfluency-stress-profiler in your project. Claude Code loads it when a task matches its description.
How do I install Call Disfluency Stress Profiler in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-disfluency-stress-profiler -a codex`. Or copy the skill folder (skills/call-disfluency-stress-profiler in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-disfluency-stress-profiler in your project. Codex loads it when a task matches its description.
Can I use Call Disfluency Stress Profiler 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-disfluency-stress-profiler -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-disfluency-stress-profiler, .gemini/skills/call-disfluency-stress-profiler, .github/skills/call-disfluency-stress-profiler and .opencode/skills/call-disfluency-stress-profiler in your project.
What does Call Disfluency Stress Profiler need to run?
Going by SKILL.md and its folder, Call Disfluency Stress Profiler needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Call Disfluency Stress Profiler 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 Disfluency Stress Profiler 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 Disfluency Stress Profiler use?
Call Disfluency Stress Profiler 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 Disfluency Stress Profiler use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Call Disfluency Stress Profiler?
Skills that share tags, products or a category with Call Disfluency Stress Profiler: Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Py (crazyguitar/pysheeet, 8.2k stars) and Cmux Debugging Guide (manaflow-ai/cmux, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Call Disfluency Stress Profiler?
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.