SKILLEMALL.ai

CD port-daddy

Multi-agent coordination daemon for coding agents. Use for deterministic port claims, session tracking, salvage, file claims, notes, pub/sub, tuple-space coordination, background fleets, and debugging multi-agent failures across Claude Code, Codex, Gemini CLI, Cursor, or Windsurf. NOT for production deploy orchestration, Docker or Kubernetes networking, or cloud service discovery.

curiositech/some_claude_skills Agent Skills author: curiositech 27 files · 5 scripts body ≈ 6 003 tokens Open the sourcegithub.com↗ analyzed 39 min ago

Multi-agent coordination daemon for coding agents.

As a process D 39/100 · Unfinished process — References files that are not bundled: references/api-reference.md, references/sdk-reference.md, references/multi-agent-patterns.md

IntegrationDockerKubernetesAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
39/100
Unfinished process
References files that are not bundled: references/api-reference.md, references/sdk-reference.md, references/multi-agent-patterns.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

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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: 27. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6003 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/api-reference.md
  • warning missing-ref reference to a missing file: references/sdk-reference.md
  • warning missing-ref reference to a missing file: references/multi-agent-patterns.md
  • warning missing-ref reference to a missing file: references/portdaddyrc-spec.md

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: references/api-reference.md, references/sdk-reference.md, references/multi-agent-patterns.md
  • 0Tools and files. 4 referenced file(s) missing: references/api-reference.md, references/sdk-reference.md, references/multi-agent-patterns.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 25 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 6003 tokens
  • 85Steps. 65 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 20 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
  • +3Output format is not stated: the model decides each time
  • -33 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 383: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.