SKILLEMALL.ai

AC driftwatch

Scan your OpenClaw workspace for truncation risks, compaction anchor health, workspace hygiene, and drift tracking over time. Use when the operator asks to "scan my config", "check my bootstrap files", "analyze my workspace", "check for truncation", "is my config healthy", or any question about OpenClaw workspace health, bootstrap file status, or truncation simulation.

ClawHub Agent Skills author: UncleD v1.1.4 MIT-0 14 files body ≈ 2 598 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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 · 0

    ✓ No critical or high findings

    Files scanned: 14. 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 52/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 5 mutating operations with no state check
    • 40Consistency. Frontmatter name (driftwatch) differs from the folder (driftwatch-oc)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 6 branches
    • 85Steps. 20 steps, 1 vague phrases
    • 100Execution cost. Instruction body is 2598 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • -37 of 8 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 371: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 20 items
    • +3Output format is stated explicitly
    • +4Has examples (13 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    Driftwatch is a disclosed local workspace-health scanner, with the main privacy consideration being local reports and history files that can reveal workspace details.
    LLM: benign (high) · VirusTotal: · 29 May 2026