SKILLEMALL.ai

AC Sentinel - AI Agent State Guardian

Automated backup, integrity monitoring, and self-healing for AI agent workspaces. Detects unexpected changes, creates automatic backups, self-heals from corruption.

ClawHub Agent Skills author: Shadow Rose v1.0.1 MIT-0 8 files body ≈ 859 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
80
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Risky intent intent-offensive-security README.md:275
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      is NOT a replacement for professional security auditing, penetration testing, or

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 40Consistency. Frontmatter name (Sentinel - AI Agent State Guardian) differs from the folder (sentinel)
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 11 steps
    • 100Execution cost. Instruction body is 859 tokens
    • 100Progress reporting. Reports progress

    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
    • +2Single-language instructions
    • +3Description length 164: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 11 items
    • +4Has examples (8 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    Sentinel is a local backup and integrity-monitoring skill whose file access and restore behavior match its stated purpose, but users should configure automatic restore carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026