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Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance. INTENDED FOR SUBSTANTIAL NEW WORK — new addons, new frameworks, new tracks, refactors crossing module boundaries — not every feature request. Apply the `sdlc-right-sizing` rule first to determine whether intake is appropriate; most day-to-day features need only an issue and possibly an ADR.

jmagly/aiwg Agent Skills author: jmagly 1 file body ≈ 18 139 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Generate or complete intake forms (project-intake, solution-profile, option-matrix) with interactive questioning and optional guidance.

As a process C 57/100 · Has gaps — References files that are not bundled: ../../../addons/aiwg-utils/rules/skill-discovery.md, ../../../addons/aiwg-utils/rules/sdlc-right-sizing.md

GeneratorAWSData and analyticsInfrastructureSecuritytype 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
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
60
Run on models
none yet
Process rating
C
57/100
Has gaps
References files that are not bundled: ../../../addons/aiwg-utils/rules/skill-discovery.md, ../../../addons/aiwg-utils/rules/sdlc-right-sizing.md
Tools and files w 18
0
Progress reporting w 2
0
Execution cost w 6
10
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: intake-wizard (jmagly/aiwg)

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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Risky intent intent-offensive-security SKILL.md:489
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Enterprise**: Full SDL, penetration testing, IR playbooks, SOC2/ISO27001
  • low Risky intent intent-offensive-security SKILL.md:638
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Enterprise**: Enterprise (full SDL, penetration testing, compliance controls, SOC2/ISO27001, IR playbooks)
  • low Risky intent intent-offensive-security SKILL.md:699
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Enterprise**: All Production gates + penetration testing, compliance scan, performance benchmarks
  • low Risky intent intent-offensive-security SKILL.md:741
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - **Production → Enterprise**: Compliance controls, penetration testing, disaster recovery plan
  • low Risky intent intent-offensive-security SKILL.md:925
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    - {[x] if applicable} Security requirements (penetration testing, audits)

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 18139 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../../addons/aiwg-utils/rules/skill-discovery.md
  • warning missing-ref reference to a missing file: ../../../addons/aiwg-utils/rules/sdlc-right-sizing.md
  • note frontmatter-key unknown frontmatter key "namespace"
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "commandHint"
  • note edit-residue the text marks something as outdated (lines 93, 853): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: ../../../addons/aiwg-utils/rules/skill-discovery.md, ../../../addons/aiwg-utils/rules/sdlc-right-sizing.md
  • 0Tools and files. 2 referenced file(s) missing: ../../../addons/aiwg-utils/rules/skill-discovery.md, ../../../addons/aiwg-utils/rules/sdlc-right-sizing.md
  • 0Progress reporting. Says nothing while it works
  • 10Execution cost. Instruction body is 18139 tokens: crowds the task out of the window
  • 30Running it twice. 16 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Steps. 263 steps, 4 vague phrases
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 21 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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
  • +4Description does not say when NOT to use the skill (false activations)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 427: enough signal without eating the budget
  • +4Structure: 58 headings
  • +3Step-by-step instructions: 263 items
  • +3Output format is stated explicitly
  • +4Has examples (39 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.