Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/majiang213/openclaw-mas/cmd_instinct_exportnpx skills add majiang213/OpenClaw-MAS --skill cmd_instinct_exportgit clone --depth 1 https://github.com/majiang213/OpenClaw-MASWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_instinct_export)<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_instinct_export"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_instinct_export.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00019 | $0.00463 |
| Opus 5 | $0.00010 | $0.00231 |
| Sonnet 5 | $0.00004 | $0.00093 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
cmd_instinct_export scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Project Path
The first argument is the project path. Before doing anything else:
- Extract the project path from the first argument
- Verify the path exists
- Work within that directory for all file operations and shell commands
Memory Export
Exports the workspace MEMORY.md to a shareable file. Use this to:
- Share curated knowledge with teammates
- Back up memory before a reinstall
- Transfer knowledge to another workspace
Usage
/skill cmd_instinct_export <project-path>
/skill cmd_instinct_export <project-path> my-team-memory.md
The optional second argument is the output file path. If omitted, the file is
written to the project directory as memory-export-YYYY-MM-DD.md.
What to Do
-
Read MEMORY.md from the main workspace:
cat ~/.openclaw/workspace-main/MEMORY.mdIf the file does not exist or is empty, report: "Nothing to export — MEMORY.md is empty." Stop.
-
Count the
##-level headings to get the section count. -
Determine the output path:
- If a second argument was provided, use it as-is
- Otherwise:
<project-path>/memory-export-<today-YYYY-MM-DD>.md
-
Write the export file:
# Memory Export # Exported: <YYYY-MM-DD HH:MM> # Source: ~/.openclaw/workspace-main/MEMORY.md # Sections: <count> --- <full MEMORY.md content verbatim> -
Report:
Memory exported: <output-path> Sections exported: <count> To import into another workspace: /skill cmd_instinct_import <project-path> <output-path>
Notes
- The export format is plain markdown — no YAML instinct schema
- Import using /skill cmd_instinct_import
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 73 lines · 19 tokens per session scan A ac36c040532b
cmd_instinct_export is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 463 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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