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specstoryai/agent-skills249 installs

specstory-link-trail

Track all URLs fetched during SpecStory AI coding sessions. Run when user says "show my link trail", "what URLs did I visit", "list fetched links", or "show web fetches".

How do I install this agent skill?

npx skills add https://github.com/specstoryai/agent-skills --skill specstory-link-trail
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    This skill parses SpecStory history files to audit and summarize URLs fetched during AI coding sessions. While it processes content from external web fetch results stored in local logs, which creates a minor indirect prompt injection surface, it operates entirely locally using included Python scripts. No malicious patterns, data exfiltration, or obfuscation were identified.

  • Socketpass

    No alerts

  • Snykpass

    Risk: LOW · No issues

  • Runlayerwarn

    5/5 files flagged

  • ZeroLeakspass

    Score: 93/100 · 2 sections analyzed

What does this agent skill do?

SpecStory Link Trail

Reviews your .specstory/history sessions and creates a summary of all URLs that were fetched via WebFetch tool calls. Useful for auditing external resources accessed during development.

How It Works

  1. Parses SpecStory history files for WebFetch tool calls
  2. Extracts URLs, status codes, and context
  3. Groups by session with timestamps
  4. Separates successful fetches from failures
  5. Deduplicates repeated URLs with fetch counts

Why Track Links?

During AI-assisted coding, your assistant fetches documentation, APIs, and resources on your behalf. Link Trail helps you:

  • Audit what external resources were accessed
  • Find that documentation page you saw earlier
  • Review failed fetches that might need retry
  • Understand your research patterns

Usage

Slash Command

User saysScript behavior
/specstory-link-trailAll sessions in history
/specstory-link-trail todayToday's sessions only
/specstory-link-trail last sessionMost recent session
/specstory-link-trail 2026-01-22Sessions from specific date
/specstory-link-trail *.mdCustom glob pattern

Direct Script Usage

# All sessions
python skills/specstory-link-trail/parse_webfetch.py .specstory/history/*.md | \
  python skills/specstory-link-trail/generate_report.py -

# Specific session
python skills/specstory-link-trail/parse_webfetch.py .specstory/history/2026-01-22*.md | \
  python skills/specstory-link-trail/generate_report.py -

# Sessions from a date range
python skills/specstory-link-trail/parse_webfetch.py .specstory/history/2026-01-2*.md | \
  python skills/specstory-link-trail/generate_report.py -

Output

Link Trail Report
=================

Sessions analyzed: 5
Total URLs fetched: 23 (18 successful, 5 failed)

Session: fix-authentication-bug (2026-01-22)
--------------------------------------------
Successful fetches:
  - https://docs.github.com/en/rest/authentication (×2)
  - https://jwt.io/introduction
  - https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401

Failed fetches:
  - https://internal.company.com/api/docs (403 Forbidden)

Session: add-caching-layer (2026-01-21)
---------------------------------------
Successful fetches:
  - https://redis.io/docs/latest/commands
  - https://docs.python.org/3/library/functools.html#functools.lru_cache
  - https://stackoverflow.com/questions/... (×3)

Summary by Domain
-----------------
  github.com: 5 fetches
  stackoverflow.com: 4 fetches
  docs.python.org: 3 fetches
  redis.io: 2 fetches
  (9 other domains): 9 fetches

Present Results to User

The script output IS the report. Present it directly without additional commentary, but you may:

  1. Highlight key findings - Most frequently accessed domains, any failed fetches
  2. Offer follow-ups - "Want me to retry the failed fetches?" or "Need details on any of these?"

Example Response

Here's your link trail from recent sessions:

[script output here]

I noticed 5 failed fetches - mostly internal URLs that require authentication.
The most accessed domain was github.com (5 fetches), mostly for their REST API docs.

Would you like me to:
- Retry any of the failed fetches?
- Open any of these links?
- Filter to a specific session?

Notes

  • Uses streaming parsing for large history files
  • URLs are extracted from WebFetch tool calls in the history
  • Fetch counts show when the same URL was accessed multiple times
  • Failed fetches include the HTTP status code when available

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/specstoryai/agent-skills/specstory-link-trail">View specstory-link-trail on skillZs</a>