SKILLEMALL.ai

AD boot-resume

Zero-cooperation session recovery after gateway restart. No checkpoints, no hooks, no agent involvement — just reads the evidence and picks up where it left off. Use when: the gateway was killed mid-task (SIGTERM, OOM, SIGKILL, crash), sessions were interrupted mid-turn with tool calls in progress, the agent stopped responding after a restart, a user reports the agent went silent after a crash, you need to manually check whether any sessions need recovery, or you want automatic resume without writing any checkpoint logic.

ClawHub Agent Skills author: Belugary v1.1.1 MIT-0 5 files · 2 scripts body ≈ 1 365 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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 · 0

    ✓ No critical or high findings

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 45/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1365 tokens
    • 100Progress reporting. Reports progress
    • low 13 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

    • +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 527: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 21 items
    • +4Has examples (7 code blocks)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    This recovery skill is disclosed and purpose-aligned, but it installs persistent automation that can automatically resume agent work without a fresh user approval.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026