Baoyu Youtube Transcript
JimLiu/baoyu-skills
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID.
Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies…
MITAuto-check passed
Install Call Repair Sequence Auditor
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-repair-sequence-auditor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-repair-sequence-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-repair-sequence-auditor .claude/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .claude/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-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-repair-sequence-auditor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-repair-sequence-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-repair-sequence-auditor .agents/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .agents/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-auditor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-repair-sequence-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-repair-sequence-auditor .cursor/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .cursor/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-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-repair-sequence-auditor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-repair-sequence-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-repair-sequence-auditor .gemini/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .gemini/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-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-repair-sequence-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-repair-sequence-auditor .github/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .github/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-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-repair-sequence-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-repair-sequence-auditor .opencode/skills/call-repair-sequence-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-repair-sequence-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-repair-sequence-auditor into .opencode/skills/call-repair-sequence-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-repair-sequence-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-repair-sequence-auditor- GitHub stars
- 107
- Token cost
- ~1.3k tokens
- SKILL.md length
- 615 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 detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies…
- 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 Repair Sequence Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies how the agent handled each repair, and crafts chunked redial goals. It does not measure comprehension conclusively, calibrate a per-minute rate, or authorize another call.
Its SKILL.md is about 1.3k 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-low.json`, `references/example-transcript-moderate.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-repair-sequence-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 Repair Sequence Auditor loads about 1.3k tokens when it runs, and up to ~4.4k if it reads all its reference files. Until then it costs about 99 tokens; SKILL.md has 615 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). 615 words, ~1,308 tokens.
Download SKILL.mdSave it as
.claude/skills/call-repair-sequence-auditor/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.- name
- call-repair-sequence-auditor
- description
- Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies how the agent handled each repair, and crafts chunked redial goals. It does not measure comprehension conclusively, calibrate a per-minute rate, or authorize another call.
- license
- MIT
call-repair-sequence-auditor
"Sorry, what?" is data. An agent that plows past it manufactures a failed call.
Conversation analysis calls it other-initiated repair: the moments one speaker signals trouble in hearing or understanding. Human conversation runs about one repair every 1.4 minutes across languages. A phone agent that ignores a repair does not save time - it ends the call with a person who never understood the ask, which is exactly how a "confirmed" outcome turns out wrong later.
When To Use
- after any CALL-E call where the callee asked to repeat, slow down, or confirm which value was meant
- to decide whether a follow-up call should use a chunked, slower goal
- to generate that goal for
plan_calldirectly - to profile which agent wording keeps causing the trouble (digit-dense, long sentences, long words)
When Not To Use
- to detect sentiment or frustration; use
call-summarizerorcall-semantic-barge-in-analyzerfor pacing and cooperation - to repair an ambiguous email thread; that is
conversation-clarify, which decides whether to call - this skill audits what happened in a call already made - during a call; this is strictly post-call analysis plus pre-call goal crafting, because CALL-E exposes transcripts, not live audio
- as proof the person failed to understand; absent repairs can mean a clean call or an unengaged callee, and the card says so
Workflow
Audit a finished call
python3 scripts/repair_sequence_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:
repair_events[]: turn index, masked span,repair_type(open_class- "huh", "sorry?", "what?";repetition_request- "can you repeat that";candidate_understanding- "did you say X or Y";partial_repeat- quoting a fragment back with a question;specification_request- "which one", "can you slow down"),trouble_source_index+trouble_profile(digit_dense, long_words, long_sentence), andresolution(ADDRESSED/IGNORED/END_OF_CALL)repairs_initiated,unresolved_repairs,dominant_trouble_typecomprehension_trouble: LOW / MODERATE / HIGH (HIGH when 2+ repairs are ignored or 4+ repairs fire in one call)recommended_action:continue,verify_understanding_prompt, orredial_with_simplified_goal(with the goal text)
A repair is ADDRESSED when the next agent turn uses a re-delivery marker, commits to one option, restates enough of the trouble source, or gives a short digit-bearing restatement; a pivot to a new topic is IGNORED.
Show full SKILL.md (263 more words)Show less
Craft the follow-up goal
python3 scripts/repair_sequence_auditor.py craft --scenario high-trouble-redialEmits the plan_call inputs JSON whose goal is the same chunked template the card recommends: one fact per sentence, numbers digit by digit, explicit permission to interrupt and ask for repeats.
Scientific Foundation
| Research | Relevance |
|---|---|
| Universal Principles in the Repair of Communication Problems (Dingemanse et al., PLoS ONE 10(9):e0136100, 2015) | The twelve-language CA study our taxonomy and the illustrative 1-repair-per-1.4-minutes baseline come from |
| An analysis of dialogue repair in virtual assistants (Galbraith, Frontiers in Robotics and AI 11:1356847, 2024) | Replicates the repair framework on Siri and Google Assistant; grounds applying CA repair categories to voice agents |
| You have interrupted me again!: making voice assistants more dementia-friendly with incremental clarification (Addlesee and Eshghi, Frontiers in Dementia, 2024, doi:10.3389/frdem.2024.1343052) | Grounds the craft mode: incremental clarification requests as the assistant-side answer to repair trouble |
Citation notes recorded during verification: the Dingemanse study is often
miscited to PNAS - it is PLoS ONE; the Addlesee paper is in Frontiers in
Dementia, not Frontiers in Computer Science. CALL-E exposes transcripts
without prosody or turn offsets, so this skill implements the lexical,
text-side approximation, reports counts instead of rates, and labels every
output analysis_mode: "heuristic".
Differences from sibling skills
conversation-clarifydetects ambiguity in written threads and decides whether one clarifying call is warranted; this skill audits repair inside a call that already happened and tunes the next one.call-semantic-barge-in-analyzerclassifies how the callee's turns cooperate with pacing; this skill measures whether they understood at all, and whether the agent noticed.call-reviewchecks disclosure and claim support; it does not count repair sequences or profile their causes.
© 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-repair-sequence-auditor of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-transcript-low.json
- references/example-transcript-moderate.json
- references/example-transcript.json
- references/examples.md
- references/safety.md
- scripts/repair_sequence_auditor.py
- scripts/test_repair_sequence_auditor.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call Repair Sequence 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 Repair Sequence Auditor this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.3k | 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 | |
| Threat Detectionalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT |
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Questions about Call Repair Sequence Auditor
What does Call Repair Sequence Auditor do?
Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies…. Call Repair Sequence Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that detects callee-initiated repair sequences (huh, can you repeat, did you say X), localizes and profiles the trouble-source agent turn, classifies how the agent handled each repair, and crafts chunked redial goals.
How do I install Call Repair Sequence Auditor in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-repair-sequence-auditor -a claude-code`. Or copy the skill folder (skills/call-repair-sequence-auditor in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-repair-sequence-auditor in your project. Claude Code loads it when a task matches its description.
How do I install Call Repair Sequence Auditor in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-repair-sequence-auditor -a codex`. Or copy the skill folder (skills/call-repair-sequence-auditor in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-repair-sequence-auditor in your project. Codex loads it when a task matches its description.
Can I use Call Repair Sequence 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-repair-sequence-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-repair-sequence-auditor, .gemini/skills/call-repair-sequence-auditor, .github/skills/call-repair-sequence-auditor and .opencode/skills/call-repair-sequence-auditor in your project.
What does Call Repair Sequence Auditor need to run?
Going by SKILL.md and its folder, Call Repair Sequence 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 Repair Sequence 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 Repair Sequence 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 Repair Sequence Auditor use?
Call Repair Sequence 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 Repair Sequence Auditor use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 3.1k tokens, read only when the agent opens those files.
What are the alternatives to Call Repair Sequence Auditor?
Skills that share tags, products or a category with Call Repair Sequence 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 Repair Sequence 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.