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Deploy a Dockerfile, source folder, or existing image to Cloudish as a running container at a live URL, built server-side with no local Docker, with confirmation before spending credits.

sickn33/agentic-awesome-skills Hermes author: sickn33 MIT 1 file body ≈ 2 208 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Deploy a Dockerfile, source folder, or existing image to Cloudish as a running container at a live URL, built server-side with no local Docker, with…

As a process B 67/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

IntegrationDockerPostgreSQLInfrastructureAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code Hermes Agent
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
96
Quality 40%
80
Run on models
none yet
Process rating
B
67/100
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

The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration net-credential-use SKILL.md:39
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    `Authorization: Bearer $CLOUDISH_API_KEY`. The live API reference is https://cloudish.ai/skill.md;
    vendor-hostquoted
  • low Exfiltration net-credential-use SKILL.md:98
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl https://cloudish.ai/api/v1/images/builds/123 -H "Authorization: Bearer $CLOUDISH_API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:109
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl https://cloudish.ai/api/v1/projects/{alias}/my-app -H "Authorization: Bearer $CLOUDISH_API_KEY"
    vendor-host
  • low Exfiltration net-credential-use SKILL.md:116
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl https://cloudish.ai/api/v1/docker/{alias}/my-app/logs -H "Authorization: Bearer $CLOUDISH_API_KEY"
    vendor-host

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 186 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "risk"
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "source_repo"
  • note frontmatter-key unknown frontmatter key "source_type"
  • note frontmatter-key unknown frontmatter key "date_added"
  • note frontmatter-key unknown frontmatter key "license_source"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 67/100

  • 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. 20 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. Tools declared in frontmatter
  • 100Steps. 27 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2208 tokens
  • 100Progress reporting. Reports progress
  • 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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 186: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.