Edge Copy setup link
Skill evidence / agent-fetch
Skill profile

agent-fetch

Fetch and extract full article content from URLs.

What this skill does for you

Fetch and extract full article content from URLs. Returns complete text with structure (headings, links, lists) instead of summaries. Multiple extraction strategies, browser impersonation, cookies, crawling, custom selectors, 200-700ms.

Quoted from the skill description in the pinned source

Who made it

Publisherteng-lin
Repositoryagent-fetch
Installs299as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the agent-fetch skill from teng-lin/agent-fetch.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

ScannerDateResultFindings
Edge static checks2026-09-27Pass0
Cisco skill-scanner2026-09-27Pass0
Semgrep Edge rules2026-09-27Pass0

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 7632d139d5df1d8a19d23fdb2f5ae2619f151be4. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 7632d139d5df1d8a19d23fdb2f5ae2619f151be4. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 7632d139d5df1d8a19d23fdb2f5ae2619f151be4. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/teng-lin/agent-fetch
Pinned skill file
View source at revision
Revision
7632d139d5df1d8a19d23fdb2f5ae2619f151be4
Package hash
sha256:fa0611a4707985d6291a56003e63c4356f3f5650b3a0877fe48c0bcedf755eb5
Licence
MIT