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AC subwave-social-release

Draft a SUB/WAVE release announcement for Discord, Reddit or X from a release PR, tag, or version number. Use this skill whenever the user wants to "write a Discord announcement / post", "announce the release", "post the release on Reddit", "draft a tweet / X thread about vX.Y.Z", "tell the community about vX.Y.Z", or hands you a release-please PR / release tag and asks for community or social copy. The skill knows the house voice (radio-themed, warm, no em-dashes), how to pull the changelog from GitHub, how to translate conventional-commit lines into benefits each audience will notice, and each channel's format. It outputs ready-to-paste text; it does NOT post anywhere.

perminder-klair/subwave Agent Skills author: perminder-klair 4 files · 1 script body ≈ 2 471 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Draft a SUB/WAVE release announcement for Discord, Reddit or X from a release PR, tag, or version number.

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

GeneratorDiscordGitHubWriting and documentsMarketingtype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
64/100
Has gaps
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
    • 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: 4. 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 64/100

    • 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. 14 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2471 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

    • +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
    • +5Description quotes 5 example trigger phrases
    • +3Description length 679: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (3 code blocks)

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