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CD add-mattermost

Add a self-hosted or cloud Mattermost bot channel through the Chat SDK bridge, reusing a healthy server when available and linking to official server setup guidance when needed.

nanocoai/nanoclaw Agent Skills author: nanocoai MIT 11 files · 7 scripts body ≈ 4 043 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Add a self-hosted or cloud Mattermost bot channel through the Chat SDK bridge, reusing a healthy server when available and linking to official server setup…

As a process D 36/100 · Unfinished process — References files that are not bundled: ?:[A-Za-z0-9.-]*[A-Za-z0-9]

IntegrationDockerInfrastructureAI and agentsData and analyticstype 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
C
86/100
safety, quality, tests
Safety 60%
95
Quality 40%
73
Run on models
none yet
Process rating
D
36/100
Unfinished process
References files that are not bundled: ?:[A-Za-z0-9.-]*[A-Za-z0-9]
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token apply-fixtures.json:9
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "bot_token": "fake…456",
    placeholder
  • low Secrets in code secret-high-entropy-token apply-fixtures.json:50
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "bot_token": "fake…456",
    placeholder
  • low Secrets in code secret-high-entropy-token apply-fixtures.json:90
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "bot_token": "fake…456",
    placeholder
  • low Secrets in code secret-high-entropy-token apply-fixtures.json:130
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "bot_token": "fake…456",
    placeholder
  • low Exfiltration read-dotenv scripts/discover-server.mjs:22
    Reads a .env file
    const text = await readFile('.env', 'utf8');

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ?:[A-Za-z0-9.-]*[A-Za-z0-9]

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: ?:[A-Za-z0-9.-]*[A-Za-z0-9]
  • 0Tools and files. 1 referenced file(s) missing: ?:[A-Za-z0-9.-]*[A-Za-z0-9]
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 14 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4043 tokens
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place

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
  • -2localhost URLs: will not work for another user
  • -31 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 177: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (33 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.