SKILLEMALL.ai

DC address-issues

Address open issues or deliver a milestone with bounded workers, triage, independent verification, signed merge and post-merge CI

Not recommendedcritical or high security findings · low grade D
jmagly/aiwg Agent Skills author: jmagly 5 files · 2 scripts body ≈ 7 372 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Address open issues or deliver a milestone with bounded workers, triage, independent verification, signed merge and post-merge CI

As a process C 50/100 · Has gaps — References files that are not bundled: ../../templates/management/milestone-worker-brief.md, ../../templates/management/verification-oracle-checklist.md, templates/issue-comments/al-cycle.md

AnalyzerGitHubAI and agentsData and analyticsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
D
70/100
safety, quality, tests
Safety 60%
82
Quality 40%
51
Run on models
none yet
Process rating
C
50/100
Has gaps
References files that are not bundled: ../../templates/management/milestone-worker-brief.md, ../../templates/management/verification-oracle-checklist.md, templates/issue-comments/al-cycle.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
50
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: address-issues (jmagly/aiwg)

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Concealment
If you install

The skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. 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 · 1

  • high Concealment en-hide-from-user SKILL.md:370
    Instruction to hide actions from the user
    **Why this lives in `address-issues` and not in the loop runtime**: the close decision is data-dependent on the issue thread state and the fix verification. Pushing it into the runtime would hide it f

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 7372 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../templates/management/milestone-worker-brief.md
  • warning missing-ref reference to a missing file: ../../templates/management/verification-oracle-checklist.md
  • warning missing-ref reference to a missing file: templates/issue-comments/al-cycle.md
  • note frontmatter-key unknown frontmatter key "namespace"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "requires"
  • note frontmatter-key unknown frontmatter key "ensures"
  • note frontmatter-key unknown frontmatter key "errors"
  • note frontmatter-key unknown frontmatter key "invariants"
  • note frontmatter-key unknown frontmatter key "commandHint"
  • note edit-residue the text marks something as outdated (lines 146): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: ../../templates/management/milestone-worker-brief.md, ../../templates/management/verification-oracle-checklist.md, templates/issue-comments/al-cycle.md
  • 0Tools and files. 3 referenced file(s) missing: ../../templates/management/milestone-worker-brief.md, ../../templates/management/verification-oracle-checklist.md, templates/issue-comments/al-cycle.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7372 tokens
  • 85Steps. 114 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 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
  • low The response is described with custom markup (17 tags): a typed call is more reliable

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)
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 129: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 114 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.