SKILLEMALL.ai

AB press-release-writer

Write professional press releases for any occasion, media type, and country. Use when the user wants to write, draft, or improve a press release, communiqué de presse, media announcement, news release, or PR statement — including product launches, funding rounds, partnerships, crisis communications, earnings, executive hires, events, M&A, open source milestones, and media advisories. Covers all release types, media targets (print, digital/wire, broadcast, social/SMPR, trade press), and region-specific conventions (Western/Eastern Europe, Americas, Middle East, Africa, Asia, Oceania). Also trigger when the user says 'I need to announce something' or 'how do I tell the press about X.'

ClawHub Agent Skills author: Samuel Berthe v1.0.2 MIT-0 9 files body ≈ 1 540 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 8. 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 65/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 60Failures and branches. 2 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 35 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1540 tokens
    • 100Progress reporting. Reports progress
    • medium 12 test cases, all positive: not one "should refuse" or "should ask first"
    • low No test case covers injection arriving through data

    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 691: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 35 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    This is a normal press-release writing skill, but it includes an under-scoped step that may pass sensitive draft announcements to an unspecified humanizer skill.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026