Project Memory Ledger
v0.1.3Engineering project memory ledger with evidence + rollback (Invariants, Decision Log, Change Log). Use to extend conversations over time, reduce hallucinatio...
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byPascal@zcweah1981
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 match what the files implement: a local Markdown ledger plus optional Drive scaffolding via the gws CLI. Declared required binary (python3) and recommended gws are appropriate for the stated features; no unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md and README instruct reading a config file and writing local Markdown ledgers and, if chosen, invoking gws to create Drive folders/docs. The runtime instructions and the included script operate on the declared config paths and workspace files only; they do not attempt to read unrelated system credentials or post data to unexpected external endpoints. Note: default config examples point at /root paths which may be surprising for non-root setups.
Install Mechanism
No install spec and only an included Python script—no network downloads or external install steps in the skill bundle. Risk is limited to running the packaged script with python3 and optionally calling the gws CLI if Drive backend is used.
Credentials
The skill requires no environment variables or credentials in its metadata. Drive use requires the user to have gws authenticated or to provide Drive folder IDs in config; these are proportionate to the optional Drive features. There are no unexplained secret requests.
Persistence & Privilege
The skill is not always-enabled and is user-invocable. It writes files into workspace-configured directories and may create project folders; this is expected for a ledger and does not modify other skills or system-wide agent settings.
Assessment
This skill appears coherent with its description, but review a few things before installing/use: (1) run in local mode first (backend=local) to confirm where files are written and to avoid unintended Drive operations; (2) check and set the config paths (local_dir, projects_root_dir) to directories you control and avoid default /root locations if you are not running as root; (3) if you enable Drive backend, authenticate gws yourself and set the exact Drive folder IDs you want the skill to use (it will create folders/docs under those IDs); (4) inspect the included scripts (scripts/ledger.py) if you need to verify behavior—operations call gws via subprocess (no shell) and write local files, so run in a sandbox if you need extra assurance.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.
Runtime requirements
Binspython3