organvm-iv-taxis/specstory-link-trail
distributions/claude/skills/specstory-link-trail/SKILL.md
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".
$ install --global
skillsauthnpx skillsauth add organvm-iv-taxis/a-i--skills specstory-link-trailInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 27, 2026, 6:15 AM17.4s7 files scanned
SKILL.md
- name:
- specstory-link-trail
- description:
- 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".
- license:
- Apache-2.0
- author:
- SpecStory, Inc.
- version:
- 1.0.0
- argument-hint:
- [history-file-or-pattern]
- allowed-tools:
- Bash, Read
- governance_phases:
- [prove]
- organ_affinity:
- [organ-iv]
- triggers:
- [command:link-trail, user-asks-about-fetched-urls]
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
- Parses SpecStory history files for WebFetch tool calls
- Extracts URLs, status codes, and context
- Groups by session with timestamps
- Separates successful fetches from failures
- 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 says | Script behavior |
|-----------|-----------------|
| /specstory-link-trail | All sessions in history |
| /specstory-link-trail today | Today's sessions only |
| /specstory-link-trail last session | Most recent session |
| /specstory-link-trail 2026-01-22 | Sessions from specific date |
| /specstory-link-trail *.md | Custom 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:
- Highlight key findings - Most frequently accessed domains, any failed fetches
- 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
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