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Pick the next work in an epic or bead graph; closed is not proven. Use when: asked what is next or whether an epic is done.

boshu2/agentops Agent Skills author: boshu2 1 file body ≈ 2 304 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Pick the next work in an epic or bead graph; closed is not proven.

As a process C 51/100 · Has gaps — References files that are not bundled: ../plan/SKILL.md, ../orchestrate/SKILL.md, ../rpi/SKILL.md

ProcedureAI and agentsSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
51/100
Has gaps
References files that are not bundled: ../plan/SKILL.md, ../orchestrate/SKILL.md, ../rpi/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: agentops

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 · 0

✓ No critical or high findings

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

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../plan/SKILL.md
  • warning missing-ref reference to a missing file: ../orchestrate/SKILL.md
  • warning missing-ref reference to a missing file: ../rpi/SKILL.md
  • warning missing-ref reference to a missing file: ../validate/SKILL.md
  • warning missing-ref reference to a missing file: ../domain/SKILL.md
  • warning missing-ref reference to a missing file: ../validate/SKILL.md
  • note frontmatter-key unknown frontmatter key "practices"
  • note frontmatter-key unknown frontmatter key "hexagonal_role"
  • note frontmatter-key unknown frontmatter key "consumes"
  • note frontmatter-key unknown frontmatter key "produces"
  • note frontmatter-key unknown frontmatter key "context_rel"
  • note frontmatter-key unknown frontmatter key "skill_api_version"
  • note frontmatter-key unknown frontmatter key "output_contract"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: ../plan/SKILL.md, ../orchestrate/SKILL.md, ../rpi/SKILL.md
  • 0Tools and files. 6 referenced file(s) missing: ../plan/SKILL.md, ../orchestrate/SKILL.md, ../rpi/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 10 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 7 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2304 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (7 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 123: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 7 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.