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Install in OpenClaw
/install cross-channel-cross-agent-sharing
Description
Ensure new capabilities gained from workspace-installed tools/packages are propagated across channels and agent sessions. Use when any tool/env/package insta...
README (SKILL.md)
Cross-Channel & Cross-Agent Skill Sharing
Execute this workflow whenever workspace capability changes
-
Detect capability change source:
- New package/tool installed in workspace
- Existing tool upgraded and behavior changed
- New env/interpreter path required for capability
-
Update
TOOLS.mdwith operational facts:- Exact runtime/interpreter path
- Install command
- Verify command
- Package versions
- One-line usage note
-
Create or update a reusable skill when pattern is repeatable:
- Add/adjust
SKILL.md - Add scripts under
scripts/for deterministic steps - Keep instructions concise and invocation-focused
- Prefer adding a verification script for fast capability checks
- Add/adjust
-
Log event in
memory/YYYY-MM-DD.md:- What changed
- How to verify
- Any limits/known caveats
-
Inform current conversation:
- Summarize new capability
- Show exact invocation command or trigger phrase
-
Propagate to active related sessions/agents:
- If likely relevant, send brief sync via
sessions_send - Include only invocation + critical caveat
- If likely relevant, send brief sync via
Required output format in chat (short)
- New capability: \x3Cwhat is newly possible>
- Use it with: \x3Cexact command / trigger>
- Scope: Applies to all channels and sessions using this workspace
- Caveat: \x3Cif any>
Quick Verification Helper
Use bundled script to verify interpreter + modules before claiming capability:
scripts/check_capability.sh \x3Cpython-bin> \x3Cmodule1> [module2 ...]
Example:
scripts/check_capability.sh ~/.openclaw/workspace/.venv-img/bin/python cv2 PIL numpy
Guardrails
- Do not assume global python/node paths; prefer workspace-scoped env paths
- Do not claim capability before running verify command
- Keep cross-session notices minimal to avoid spam
- If capability is channel-specific (provider restriction), state that explicitly
Usage Guidance
This skill is coherent with its declared goal (propagate workspace capability changes), but it has a high blast radius because it tells the agent to edit shared docs/skills and notify other sessions. Before installing: (1) Confirm you trust any agent that can run this — consider requiring manual approval for applied changes or diffs to SKILL.md/scripts. (2) Ensure file-write permissions are scoped (e.g., restrict which directories can be modified). (3) Require human review of any proposed SKILL.md or script changes and retain backups/revision history for TOOLS.md and SKILL.md. (4) Limit or audit the use of session-wide notifications (sessions_send) to avoid unwanted propagation. If you cannot enforce these constraints, treat the skill as potentially risky.
Capability Analysis
Type: OpenClaw Skill
Name: cross-channel-cross-agent-sharing
Version: 0.1.1
The skill bundle is a utility designed to help an AI agent manage and synchronize workspace capabilities, such as newly installed packages or tools, across different sessions. It contains a helper script (scripts/check_capability.sh) for verifying Python environments and instructions (SKILL.md) for updating workspace documentation and notifying other agent sessions. The logic is transparent, aligned with its stated purpose, and shows no signs of malicious intent, data exfiltration, or unauthorized persistence.
Capability Assessment
Purpose & Capability
The name/description match the instructions: the skill is intended to detect workspace capability changes and propagate them by updating docs, creating/updating reusable skills, adding verification scripts, logging to memory, and notifying sessions. The requested resources (none: no env vars, no binaries, no install) are consistent with an instruction-only workflow that operates on workspace files. This is coherent with the declared purpose.
Instruction Scope
SKILL.md explicitly instructs the agent to modify workspace files (TOOLS.md, SKILL.md under reusable skills, scripts/), write memory/YYYY-MM-DD.md, and send cross-session notifications (sessions_send). Those actions go beyond simple observation/verification and give the agent permission to alter shared artifacts and notify other agents/sessions. The verification script itself is benign, but the overall instructions allow broad file writes and cross-session messaging — a scope that should be intentionally limited and audited.
Install Mechanism
No install spec; this is instruction-only with a small local verification script. Nothing is downloaded or extracted from external URLs and no new binaries are installed by the skill, which is the lowest-risk install posture.
Credentials
The skill requests no environment variables, no credentials, and no special config paths. It uses only workspace files and a local verification script that checks Python modules. The lack of requested secrets is appropriate for the stated functionality.
Persistence & Privilege
Although always:false (not force-included) and no credentials requested, the skill's workflow instructs creating/updating SKILL.md and scripts for reusable skills and propagating those changes across channels/sessions. This is a persistence/propagation capability: if misused, it can alter other skills' behavior or spread changes widely. Because autonomous invocation is allowed by default, consider whether this propagation behavior should require explicit human approval or extra gating.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cross-channel-cross-agent-sharing - After installation, invoke the skill by name or use
/cross-channel-cross-agent-sharing - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.1
Add capability verification helper script and verification guidance
v0.1.0
Initial release: workspace capability propagation across channels and sessions
Metadata
Frequently Asked Questions
What is Cross-Channel & Cross-Agent Skill Sharing?
Ensure new capabilities gained from workspace-installed tools/packages are propagated across channels and agent sessions. Use when any tool/env/package insta... It is an AI Agent Skill for Claude Code / OpenClaw, with 105 downloads so far.
How do I install Cross-Channel & Cross-Agent Skill Sharing?
Run "/install cross-channel-cross-agent-sharing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Cross-Channel & Cross-Agent Skill Sharing free?
Yes, Cross-Channel & Cross-Agent Skill Sharing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Cross-Channel & Cross-Agent Skill Sharing support?
Cross-Channel & Cross-Agent Skill Sharing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Cross-Channel & Cross-Agent Skill Sharing?
It is built and maintained by Gabriel (@skglau); the current version is v0.1.1.
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