SKILLEMALL.ai

CC startup-it-troubleshooting

Practical IT troubleshooting playbooks for small teams without dedicated IT staff.

sickn33/agentic-awesome-skills Agent Skills author: sickn33 MIT 1 file body ≈ 3 653 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Practical IT troubleshooting playbooks for small teams without dedicated IT staff.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSlackDockerAWSInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
96
Quality 40%
79
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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

    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:53
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -X POST -H "Authorization: SSWS $OKTA_API_TOKEN" "https://$OKTA_DOMAIN/api/v1/users/$OKTA_USER_ID/lifecycle/unlock"
      variable host
    • low Exfiltration net-credential-use SKILL.md:54
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -X POST -H "Authorization: SSWS $OKTA_API_TOKEN" "https://$OKTA_DOMAIN/api/v1/users/$OKTA_USER_ID/lifecycle/reset_password?sendEmail=true"
      variable host
    • low Exfiltration net-credential-use SKILL.md:55
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -X POST -H "Authorization: SSWS $OKTA_API_TOKEN" "https://$OKTA_DOMAIN/api/v1/users/$OKTA_USER_ID/lifecycle/reset_factors"
      variable host
    • low Exfiltration net-credential-use SKILL.md:56
      Credential used in a network call (verify the destination is the intended service) (destination host is a configured variable)
      curl -X DELETE -H "Authorization: SSWS $OKTA_API_TOKEN" "https://$OKTA_DOMAIN/api/v1/users/$OKTA_USER_ID/sessions"
      variable host

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

    Against the Agent Skills spec

    • 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"

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3653 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 15 top-level sections: this looks like several domains in one skill

    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)
    • +3Description length 82: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Structure: 32 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (29 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.