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BC filechat

Search, retrieve, and chat with documents securely stored in a designated Google Drive folder using semantic vector search (RAG RAG). Use when: (1) a user asks to save a file for later, (2) a user asks a question about their saved files/documents, (3) a user asks you to retrieve or send them a previously stored file, (4) a user asks to sync or flush their document library. This skill automatically chunks, embeds, and indexes Google Drive documents into a local persistent ChromaDB instance.

ClawHub Agent Skills author: eladrave v1.0.0 MIT-0 7 files · 3 scripts body ≈ 721 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Search, retrieve, and chat with documents securely stored in a designated Google Drive folder using semantic vector search (RAG RAG).

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureGoogle DriveAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
97
Quality 40%
84
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration exfil-secret-in-url query.js:33
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      const url = `https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…
      placeholder
    • low Exfiltration exfil-secret-in-url sync.js:42
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      const url = `https://generativelanguage.googleapis.com/v1beta/models/text…ent?key=…
      placeholder
    • low Exfiltration exfil-secret-in-url sync.js:55
      Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
      const url2 = `https://generativelanguage.googleapis.com/v1beta/models/gemi…ent?key=…
      placeholder

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (filechat) differs from the folder (filechat-old-ugnire)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 4 steps
    • 100Execution cost. Instruction body is 721 tokens

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 494: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    FileChat has a coherent document-search purpose, but it broadly copies and indexes Drive documents, sends document and query content to Gemini, and keeps sensitive text locally with weak containment.
    LLM: suspicious (high) · VirusTotal: · 15 Sept 2026