Aura for OpenClaw
v0.1.5Compile multi-format documents into local queryable knowledge bases and manage persistent AI memory tiers using Aura Core with zero network requests.
⭐ 3· 686·1 current·1 all-time
byRta Labs AI@auralithinc
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 (compile local docs, provide persistent memory) match the included scripts and SKILL.md. The scripts call into an external 'aura' Python package (auralith-aura) to perform compilation and memory operations — that is expected for this skill. There are no unrelated environment variables, binaries, or config paths requested.
Instruction Scope
Runtime instructions tell the agent to run the provided scripts against user-specified directories and .aura files and to write/read memory under ~/.aura/memory. The scripts themselves only do local file I/O and import aura.*; they do not contain network calls. Important operational note: the agent can be asked to compile any directory the user supplies (including sensitive paths) and to write arbitrary strings into persistent memory (including secrets) — that is expected functionality but has privacy implications.
Install Mechanism
There is no install spec that downloads arbitrary archives. SKILL.md instructs users to pip install the external 'auralith-aura' package (normal for Python). The skill bundle itself contains only small helper scripts and docs; nothing in the package performs remote downloads.
Credentials
The skill declares no environment variables or credentials (appropriate). It does read and write local files (user-provided input directories and ~/.aura/memory). This is proportionate to the stated purpose, but persistent storage means users can accidentally store sensitive secrets; the skill does not declare any secret-handling or encryption behavior.
Persistence & Privilege
always:false (no forced inclusion). The skill stores durable memory shards and WALs under ~/.aura/memory and writes .aura archives to output paths — this is expected. The skill can be invoked autonomously by the agent (platform default). No changes to other skills or system-wide settings are present.
Assessment
This skill appears to do what it says: compile local documents into .aura archives and provide a persistent 3‑tier memory, all via a small set of helper scripts that call the external 'auralith-aura' library. Before installing or using it, consider: (1) Audit the auralith-aura package (PyPI/GitHub) for any telemetry or unexpected network behavior — SKILL.md claims 'zero network requests' but that applies to the skill's code, not to an external dependency you install. (2) Be cautious which directories you ask the agent to 'learn' — it will read whatever path you provide. (3) Persistent memory is stored on disk (~/.aura/memory) — avoid writing long-lived secrets (API keys, private keys, passwords) into memory unless you know how they are encrypted and protected. (4) If you require strict offline guarantees, inspect the auralith-aura source to confirm it performs no network activity at runtime. If you want a safer deploy: limit file paths provided to the skill, restrict filesystem permissions on ~/.aura, and periodically prune or encrypt memory shards.Like a lobster shell, security has layers — review code before you run it.
agent-memoryvk9756dh67axg939za8hh1ds09981aswpcompilervk9756dh67axg939za8hh1ds09981aswpknowledge-basevk9756dh67axg939za8hh1ds09981aswplatestvk97aepkd0wfhdtearf2nh8b8t9841429memoryvk9756dh67axg939za8hh1ds09981aswpragvk9756dh67axg939za8hh1ds09981aswp
License
MIT-0
Free to use, modify, and redistribute. No attribution required.