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Skill evidence / orca-cli
Skill profile

orca-cli

Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill...

What this skill does for you

Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser through the `orca` CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", "Orca browser", "orca artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state is involved. Use Computer Use only when a visible window needs GUI control that a CLI, filesystem, or API cannot do.

Quoted from the skill description in the pinned source

Who made it

Publisherbryanwills
Repositoryorca
Installs312as 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 orca-cli skill from bryanwills/orca.

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: a85057ef4802fb2dbeec7daba17ad19977aa1d06. 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: a85057ef4802fb2dbeec7daba17ad19977aa1d06. 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: a85057ef4802fb2dbeec7daba17ad19977aa1d06. Raw findings: . Counted findings: .

Source and licence

Repository
https://github.com/bryanwills/orca
Pinned skill file
View source at revision
Revision
a85057ef4802fb2dbeec7daba17ad19977aa1d06
Package hash
sha256:4d418d6d540c91309a26db5466d8a6af4bd584311c67a3f502dbfff39a5adf58
Licence
MIT