AgentSkillsCN

specstory-link-trail

追踪 SpecStory AI 编码会话期间所访问的所有 URL。当用户说“展示我的链接轨迹”“我访问了哪些网址”“列出已获取的链接”或“显示网页抓取记录”时,即可启用此功能。

SKILL.md
--- frontmatter
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
metadata:
  author: SpecStory, Inc.
  version: "1.0.0"
  argument-hint: "[history-file-or-pattern]"
allowed-tools: Bash, Read

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

bash
# 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

code
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

code
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