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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

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

Weekly Installs

93

Repository

specstoryai/agent-skills

GitHub Stars

22

First Seen

Jan 28, 2026

Security Audits

Gen Agent Trust HubWarnSocketPassSnykWarn

Installed on

gemini-cli87

codex85

cursor80

opencode80

github-copilot80

claude-code71