revert: remove accidentally merged video-quote-finder skill (#18550)

README.md

@@ -262,19 +262,6 @@ ClawHub is a minimal skill registry. With ClawHub enabled, the agent can search
 
 [ClawHub](https://clawhub.com)
 
-### Example skill: video-quote-finder
-
-Use `skills/video-quote-finder` to locate where a quote appears in a YouTube video and return timestamp links.
-
-Original prompt:
-
-> "OK I want to make a PR with this skill back to openclaw... make a new one that
-> will search for a point on the video and give me the timestamp. For example I
-> want to find the timestamp in this video where Peter says 'I think vibe coding
-> is a slur'"
->
-> Video: [https://youtu.be/YFjfBk8HI5o?si=DTT2nVt0HQ4dSIoV](https://youtu.be/YFjfBk8HI5o?si=DTT2nVt0HQ4dSIoV)
-
 ## Chat commands
 
 Send these in WhatsApp/Telegram/Slack/Google Chat/Microsoft Teams/WebChat (group commands are owner-only):

skills/video-quote-finder/SKILL.md

@@ -1,35 +0,0 @@
----
-name: video-quote-finder
-description: Find where a quote appears in a YouTube video and return timestamped links. Use when users ask "where in this video does X say Y", "find the timestamp for this line", or "locate quote in this YouTube video".
----
-
-# Video Quote Finder
-
-Find quote timestamps in YouTube videos using the `summarize` CLI transcript extraction with timestamps.
-
-## Quick start
-
-```bash
-python3 skills/video-quote-finder/scripts/find_quote_timestamp.py \
-  "https://youtu.be/YFjfBk8HI5o" \
-  "I think vibe coding is a slur"
-```
-
-## Workflow
-
-1. Extract transcript with timestamps via `summarize --extract --timestamps`.
-2. Score transcript lines against the requested quote.
-3. Return best match + top alternatives.
-4. Include direct YouTube links with `t=<seconds>`.
-
-## Output format
-
-- `best_match` timestamp + line + score
-- `best_link` with timestamp
-- up to 5 candidate timestamps with links
-
-## Notes
-
-- Requires `summarize` CLI (`@steipete/summarize`) in PATH.
-- Works best when YouTube captions are available.
-- If no exact match is found, uses fuzzy matching and suggests alternatives.

skills/video-quote-finder/references/usage.md

@@ -1,15 +0,0 @@
-# Usage
-
-## Find timestamp for a quote
-
-```bash
-python3 skills/video-quote-finder/scripts/find_quote_timestamp.py \
-  "https://youtu.be/YFjfBk8HI5o?si=DTT2nVt0HQ4dSIoV" \
-  "I think vibe coding is a slur"
-```
-
-## Tips
-
-- Start with exact quote text.
-- If no match, use a distinctive 3-8 word fragment.
-- Prefer phrase fragments unlikely to repeat frequently.

skills/video-quote-finder/scripts/find_quote_timestamp.py

@@ -1,96 +0,0 @@
-#!/usr/bin/env python3
-import argparse
-import re
-import subprocess
-import sys
-from difflib import SequenceMatcher
-
-TS_LINE = re.compile(r"^\[(\d{1,2}:\d{2}(?::\d{2})?)\]\s*(.*)$")
-
-
-def ts_to_seconds(ts: str) -> int:
-    parts = [int(x) for x in ts.split(':')]
-    if len(parts) == 2:
-        m, s = parts
-        return m * 60 + s
-    h, m, s = parts
-    return h * 3600 + m * 60 + s
-
-
-def with_timestamp_url(url: str, ts: str) -> str:
-    sec = ts_to_seconds(ts)
-    base_url = url.split('#', 1)[0]  # drop fragment so query params are honored
-    joiner = '&' if '?' in base_url else '?'
-    return f"{base_url}{joiner}t={sec}s"
-
-
-def run_extract(url: str) -> str:
-    cmd = ["summarize", url, "--extract", "--timestamps"]
-    p = subprocess.run(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, universal_newlines=True)
-    if p.returncode != 0:
-        raise RuntimeError(p.stderr.strip() or "summarize failed")
-    return p.stdout
-
-
-def normalize(s: str) -> str:
-    return re.sub(r"\s+", " ", s.lower()).strip()
-
-
-def score(quote: str, line: str) -> float:
-    q = normalize(quote)
-    l = normalize(line)
-    if not q or not l:
-        return 0.0
-    if q in l:
-        return 1.0
-
-    q_words = set(q.split())
-    l_words = set(l.split())
-    overlap = len(q_words & l_words) / max(1, len(q_words))
-    ratio = SequenceMatcher(None, q, l).ratio()
-    return 0.6 * overlap + 0.4 * ratio
-
-
-def find_matches(text: str, quote: str):
-    matches = []
-    for line in text.splitlines():
-        m = TS_LINE.match(line)
-        if not m:
-            continue
-        ts, body = m.group(1), m.group(2)
-        s = score(quote, body)
-        if s >= 0.35:
-            matches.append((s, ts, body))
-    matches.sort(key=lambda x: x[0], reverse=True)
-    return matches[:5]
-
-
-def main():
-    ap = argparse.ArgumentParser(description="Find quote timestamp in YouTube transcript")
-    ap.add_argument("url")
-    ap.add_argument("quote")
-    args = ap.parse_args()
-
-    try:
-        text = run_extract(args.url)
-        matches = find_matches(text, args.quote)
-    except Exception as e:
-        print(f"ERROR: {e}", file=sys.stderr)
-        sys.exit(1)
-
-    if not matches:
-        print("No matches found. Try a shorter quote fragment.")
-        sys.exit(2)
-
-    best = matches[0]
-    best_link = with_timestamp_url(args.url, best[1])
-    print(f"best_match: [{best[1]}] score={best[0]:.2f} :: {best[2]}")
-    print(f"best_link: {best_link}")
-    print("candidates:")
-    for s, ts, body in matches:
-        print(f"- [{ts}] score={s:.2f} :: {body}")
-        print(f"  link: {with_timestamp_url(args.url, ts)}")
-
-
-if __name__ == "__main__":
-    main()