Ask To Remember
v1.0.5Proactively capture reusable user preferences, habits, default ways of working, stable constraints, and recurring expectations likely worth remembering for f...
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bywb010@wubin010
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description (capture reusable user preferences) matches the actual behavior: the SKILL.md and test scenarios describe detecting preference gaps and writing persistent records to workspace files (MEMORY.md, atr-state.json, atr-log.jsonl). The included hook simply injects the same prompt at bootstrap time. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
Instructions tell the agent to read/write files under the agent workspace and to append an ATR entry to AGENTS.md. This is coherent for a memory-capture skill, but important to note: the policy constraints (e.g., only trigger in main-session, not group chats) are implemented as prompt text rather than enforced by sandboxing or runtime checks. The agent will autonomously interpret user replies and may persist memory entries; that behavior is expected but can lead to unexpected persistent writes if misclassified.
Install Mechanism
No install spec and no downloads; the skill is instruction-first. The only code file is a small hook (handler.js) that appends a virtual bootstrap file to event.context.bootstrapFiles during agent:bootstrap. No networked installs or third-party package pulls are present.
Credentials
The skill requires no environment variables, credentials, or external config paths. All state stays in local workspace files; the requested permissions are proportionate to the stated purpose.
Persistence & Privilege
The skill persists state and logs into workspace files and will append a section to AGENTS.md (or inject a virtual bootstrap file via the hook). Writing into AGENTS.md and creating MEMORY.md/atr-state.json is within the skill's purpose, but is persistent and can change agent startup docs/behavior — review that you are comfortable with those permanent workspace modifications.
Assessment
This skill is coherent with its purpose and doesn't request secrets or network access. Before installing, consider: (1) it will persistently write to your agent workspace (MEMORY.md, atr-state.json, atr-log.jsonl) and append an entry to AGENTS.md (or inject a bootstrap virtual file) — review those files after installation; (2) the behavioral constraints (main-session only, not in group chats) are expressed in prompts rather than enforced by system-level checks, so review the hook/code and test in a safe workspace to confirm it behaves as you expect; (3) because the agent autonomously decides when to ask and when to write memory, monitor initial runs to ensure it doesn't record items you consider sensitive or undesired. If you want tighter control, run the skill in a sandboxed workspace or require manual approval before writing MEMORY.md/AGENTS.md.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.