AgentStack
Sign in Publish
MCP servers Skills Toolkits Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Talkthrough

skill-korovin-aa97-talkthrough-mcp-clawhub · by korovin-aa97

Analyze narrated screen recordings and audio files — timestamped transcript, scene keyframes, OCR text, and wall-clock anchoring via the local talkthrough MCP server. Use when the user shares a recording or asks to triage feedback, extract meeting actions, or correlate a recording with logs.

↗ Repository
— No reviews yet
0 installs
3 views
0.0% view→install

Install

$ agentstack add skill-korovin-aa97-talkthrough-mcp-clawhub

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Talkthrough? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

talkthrough for OpenClaw

This skill wires the talkthrough MCP server into OpenClaw and teaches the workflow. Everything runs locally: recordings never leave the machine.

Setup (once)

Add the MCP server:

openclaw mcp add talkthrough --command uvx --arg talkthrough-mcp

Requires uv (https://astral.sh/uv). First processing downloads a whisper model once (~460 MB for the default small).

Workflow

  1. process_media(path) — idempotent by content hash; returns a compact

summary with job_id (re-calls on the same file are instant).

  1. get_transcript(job_id) / search(job_id, "") — orient; search

covers speech AND on-screen OCR text.

  1. get_moment(job_id, t0-2000, t1+2000) — evidence bundle per remark:

transcript slice + up to 3 frames + OCR + wall-clock range.

  1. extract_frame(job_id, at_ms, crop=...) — exact instant, native

resolution, when keyframes miss the moment.

  1. list_jobs() — recordings processed earlier remain queryable.

Timestamps: t_ms is video-relative; t_wall is real wall-clock time when the recording start is known — use it to correlate remarks with logs (±30 s window). Audio-only files (.m4a/.mp3/…) have transcripts but no frames; frame tools erroring on them is expected.

Full docs: https://github.com/korovin-aa97/talkthrough-mcp

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Write a review

Versions

  • v0.1.0 Imported from the upstream source.

More in Content & Media