How are repeated links handled?

The report deduplicates repeated URLs within a session and provides a fetch count (e.g., ×3) to show how many times a specific resource was accessed.

How does Link Trail find the URLs?

It scans the markdown files in your .specstory/history directory, specifically looking for executions of the WebFetch tool and extracting the requested URLs.

Does it show why a fetch failed?

Yes, the skill extracts and displays HTTP status codes (like 403 Forbidden or 404 Not Found) for failed requests to help you debug access issues.

Can I filter the report by date?

Yes, you can use commands like '/specstory-link-trail today' or specify a specific date pattern to limit the analysis to specific sessions.

Is this data stored externally?

No, the skill processes your local history files using standard bash and python tools; no data is sent to external servers beyond your local Claude environment.

SpecStory Link Trail

Name: SpecStory Link Trail
Author: organvm-iv-taxis

byorganvm-iv-taxis

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分析と監視

Summarizes and audits all external URLs fetched during SpecStory AI development sessions.

SpecStory Link Trail is a specialized utility designed to bring transparency to your AI's research process by tracking every URL accessed via the WebFetch tool. It parses session history files to generate a structured report that organizes links by session, identifies failed requests with status codes, and provides a domain-level summary. Whether you are trying to find a specific documentation page mentioned earlier or auditing the external resources your AI assistant relied on, this skill provides a clear, actionable trail of your development journey.

主な機能

01Supports date-based filtering and custom glob patterns

02Automatically parses .specstory/history files for WebFetch tool calls

03Groups fetched links by session with timestamps and success status

04Identifies failed fetches and extracts HTTP status codes

05Provides domain-level summaries and fetch frequency metrics

062 GitHub stars

ユースケース

01Auditing external APIs and resources accessed during automated coding tasks

02Recovering lost documentation links or research sources used by the AI

03Troubleshooting failed web requests to internal or restricted resources

主な機能

01Supports date-based filtering and custom glob patterns

02Automatically parses .specstory/history files for WebFetch tool calls

03Groups fetched links by session with timestamps and success status

04Identifies failed fetches and extracts HTTP status codes

05Provides domain-level summaries and fetch frequency metrics

062 GitHub stars

ユースケース

01Auditing external APIs and resources accessed during automated coding tasks

02Recovering lost documentation links or research sources used by the AI

03Troubleshooting failed web requests to internal or restricted resources