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CD agent-native

Dispatch independent tasks to parallel workers or subagents without write collisions. Use when: running or planning agents in parallel, even two; check scopes before any launch.

boshu2/agentops Agent Skills author: boshu2 9 files body ≈ 2 369 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Dispatch independent tasks to parallel workers or subagents without write collisions.

As a process D 38/100 · Unfinished process — References files that are not bundled: ../orchestrate/SKILL.md, ../orchestrate/SKILL.md, ../validate/SKILL.md

GeneratorAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
87/100
safety, quality, tests
Safety 60%
97
Quality 40%
73
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: ../orchestrate/SKILL.md, ../orchestrate/SKILL.md, ../validate/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token references/judgment-receipts.md:42
    High-entropy token-like string (may be an id, hash or a credential)
    judgment-receipt:/absolute/private/evidence/receipt.json#sha256=<SHA2…tes>
  • low Secrets in code secret-high-entropy-token references/judgment-receipts.md:57
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "acceptance_digest": "<SHA2…tes>",
    detector
  • low Secrets in code secret-high-entropy-token references/judgment-receipts.md:59
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "transcript": {"path":"/absolute/private/evidence/native.jsonl","start":0,"end":1234,"sha256":"<SHA2…tes>"},
    quoted

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../orchestrate/SKILL.md
  • warning missing-ref reference to a missing file: ../orchestrate/SKILL.md
  • warning missing-ref reference to a missing file: ../validate/SKILL.md
  • warning missing-ref reference to a missing file: ../codex-exec/SKILL.md
  • warning missing-ref reference to a missing file: ../claude-exec/SKILL.md
  • warning missing-ref reference to a missing file: ../agy-native/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 38/100

Will not run. References files that are not bundled: ../orchestrate/SKILL.md, ../orchestrate/SKILL.md, ../validate/SKILL.md
  • 0Tools and files. 6 referenced file(s) missing: ../orchestrate/SKILL.md, ../orchestrate/SKILL.md, ../validate/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2369 tokens
  • 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
  • +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 177: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.