context-compression

This skill should be used when long-running agent sessions need context compression.

What this skill does for you

This skill should be used when long-running agent sessions need context compression, structured summarization, compaction, token-per-task optimization, or durable handoff summaries that preserve decisions, files, risks, and next actions.

Quoted from the skill description in the pinned source

Who made it

Publisherguanyang

Repositoryopen-agent-hub

Installs328as 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 context-compression skill from guanyang/open-agent-hub.

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.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

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: 5248240ae73fb3c2440aae81d1b8655508d58d43. 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: 5248240ae73fb3c2440aae81d1b8655508d58d43. 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: 5248240ae73fb3c2440aae81d1b8655508d58d43. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/guanyang/open-agent-hub
Pinned skill file: View source at revision
Revision: 5248240ae73fb3c2440aae81d1b8655508d58d43
Package hash: sha256:4a798d258fb6b6dc448b554b9751b0fc1151ab93bffd37e252dee3e533bb23cf
Licence: MIT