SKILLEMALL.ai

AB prdigest

Write a prose pull-request digest from PRDigest's deterministic, versioned facts. Use when an OpenClaw user asks to summarize merged pull requests without sending Telegram messages or enabling PRDigest's built-in AI provider.

ClawHub Agent Skills author: Ivan Kuznetsov v0.3.0 MIT-0 2 files body ≈ 713 tokens Open the sourceclawhub.ai analyzed 2 d ago

Write a prose pull-request digest from PRDigest's deterministic, versioned facts.

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

GeneratorTelegramSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
30
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 Concealment en-hide-from-user SKILL.md:22
      Instruction to hide actions from the user (negated — the text forbids it)
      mutation. Do not silently install software or edit configuration.
      negated

    Files scanned: 2. 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 69/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 9 steps
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 713 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 225: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (1 code blocks)

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

    External checks

    ClawHub: clean
    This skill is a narrow adapter that turns PRDigest CLI JSON facts into prose while explicitly avoiding installs, direct GitHub calls, Telegram sending, AI providers, and credential disclosure.
    LLM: benign (high) · VirusTotal: · 27 Jul 2026