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 skills add majiang213/OpenClaw-MAS --skill cmd_instinct_statusgit 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_status)<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_instinct_status"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_instinct_status/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/majiang213/openclaw-mas/cmd_instinct_status"><img src="https://agentmods.dev/badge/skills/majiang213/openclaw-mas/cmd_instinct_status.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00021 | $0.00428 |
| Opus 5 | $0.00010 | $0.00214 |
| Sonnet 5 | $0.00004 | $0.00086 |
| Haiku 4.5 | $0.00002 | $0.00043 |
Grade A, and why
cmd_instinct_status 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 9d 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 Status
Shows the current state of long-term memory (MEMORY.md) and short-term recalls pending promotion for the active OpenClaw workspace.
Usage
/skill cmd_instinct_status <project-path>
What to Do
-
Read MEMORY.md from the main workspace:
cat ~/.openclaw/workspace-main/MEMORY.mdIf the file does not exist or is empty, note: "No MEMORY.md found — workspace has no long-term memory yet."
-
Count the
##-level headings in MEMORY.md to get the total number of memory sections. -
Run memory status to show the index:
openclaw memory status -
Run promotion preview to show what is pending:
openclaw memory promote(without
--apply— preview only) -
Display the output:
============================================================
MEMORY STATUS
============================================================
Workspace: ~/.openclaw/workspace-main/
MEMORY.md sections: <count>
## LONG-TERM MEMORY (MEMORY.md)
<full MEMORY.md content>
## SHORT-TERM RECALLS (pending promotion)
<output from openclaw memory promote>
## MEMORY INDEX
<output from openclaw memory status>
Notes
- MEMORY.md is injected at every agent bootstrap via the session-bootstrap hook
- Short-term recalls are stored in ~/.openclaw/memory/main.sqlite
- Run /skill cmd_promote to apply pending promotions to MEMORY.md
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.
- 9d ago First seen · 77 lines · 21 tokens per session scan A a6c75eb95c66
cmd_instinct_status is a skill published in the GitHub repository majiang213/OpenClaw-MAS (5 stars, last pushed 5mo ago), licensed MIT. It adds 21 tokens to every session and 428 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.
Other skills, from other repositories
unified-memory
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
self-improve
Extract lessons from the current session, or sweep the project's past sessions when asked, and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to "self-improve", "distill this session", "distill past sessions", "sweep past…
save-md
Saves a named source to Markdown with provenance and faithful extraction through direct export endpoints. Use when asked to "save this article", "get the markdown", "transcribe this", or "keep this source". A URL supplied as task context alone does not trigger conversion; a chat summary stays in chat.
knowledge-base
Retrieves and updates project-specific prompt knowledge from comparison evidence and user feedback. Use only for prompt analysis or post-comparison learning within a Rashomon evaluation.
swarmclaw
AI agent runtime and multi-agent orchestration platform. Teaches agents how to use SwarmClaw's 6 primitive tools, persistent memory, dreaming, delegation, connectors, credentials, and the skill system. Use when an agent is running on SwarmClaw and needs to understand the platform's capabilities.
obs-memory
Persistent Obsidian-based memory for coding agents. Use at session start to orient from a knowledge vault, during work to look up architecture/component/pattern notes, and when discoveries are made to write them back. Activate when the user mentions obsidian memory, obsidian vault, obsidian notes, or /obs commands.…