SKILLEMALL.ai

AC Jira PAT Skill

Manage Jira issues on self-hosted/enterprise Jira instances using Personal Access Tokens (PAT). This skill is designed for environments where Basic Auth doesn't work due to SSO/SAML authentication.

modbender/skill-library-mcp Agent Skills author: modbender MIT 2 files · 1 script body ≈ 1 147 tokens Open the sourcegithub.com analyzed 2 d ago

Manage Jira issues on self-hosted/enterprise Jira instances using Personal Access Tokens (PAT).

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, consistency

ProcedureJiraOperations and projectstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (Jira PAT Skill) differs from the folder (clawhub-jira-pat-skill)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 13 steps
    • 100Execution cost. Instruction body is 1147 tokens

    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
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 197: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (10 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.