Recall

Load context from past sessions. Three modes: temporal (what did I work on yesterday/last week), topic (semantic search across sessions and notes), and graph...

This skill appears to do what it claims (scan your workspace memory files and synthesize a timeline), but there are a few red flags you should consider before installing or enabling it: - Missing graph script: The SKILL.md calls python3 ${CLAUDE_SKILL_DIR}/scripts/generate-graph.py to build the visualization, but the package contains no scripts. If you need the graph feature you must supply that script or confirm where the agent should get it. - Broad file access: The skill's runtime instructions tell the agent to read memory/, SESSION-STATE.md, and 'any notes in the workspace' with shell commands (cat/grep). That will give the skill access to any files in those paths, which may include secrets or sensitive data. Consider running the skill only in a restricted/isolated workspace or reviewing files you keep under memory/ first. - Ambiguous paths and variables: The use of ~/[workspace], ${CLAUDE_SKILL_DIR}, and other underspecified locations could cause the agent to search unexpected directories. Confirm how your agent resolves those variables or edit the SKILL.md to use explicit, safe paths. - Optional dependencies: The doc suggests installing @qmd/cli for semantic search — installing global npm packages runs third-party code. Only install such tools from trusted sources. Recommendations: 1) Ask the skill author (or the publisher) for the missing graph script or remove/disable graph-related instructions. 2) Test the skill in a disposable or sanitized workspace (no secrets) first to observe exactly what files it reads/writes. 3) If you do not want automatic scanning of your entire workspace, avoid giving the agent autonomous invocation or restrict the skill's use to manual, user-invoked runs. 4) Consider adding an explicit allowlist of memory/ file paths in the SKILL.md before enabling it in a production workspace. Given the clear mismatch (documented functionality that depends on non-existent code and underspecified path handling), treat this package with caution until those inconsistencies are resolved.

Type: OpenClaw Skill Name: personal-os-recall Version: 1.0.0 The 'personal-os-recall' skill is designed to provide an AI agent with long-term memory by searching and visualizing local session logs stored in a 'memory/' directory. It utilizes standard system commands (ls, cat, grep) and an optional external utility (@qmd/cli) for semantic search. While it references a Python script (generate-graph.py) for visualization that is not included in the source, the instructions and logic in SKILL.md are consistent with its stated purpose of context retrieval and do not exhibit signs of malicious intent, data exfiltration, or harmful prompt injection.