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BD ISA

Owns the Ideal State Artifact (ISA): scaffolds, restates, interviews, discusses, rates, renders, upgrades, and maintains the articulation of a project's ideal state. USE WHEN ISA, ISC, ideal state, ideal state criteria, ideal state ladder, L1 L2 L3, restate, say it back, what do you think I want, are we building the right thing, drift check, project specification, articulating done, fog, not yet specified, discuss, discovery interview, are we aligned, alignment, questionnaire, articulation, refine the ISA, open questions, ask fence, mid-run question, rate this ISA, score this ISA, ISA quality, ISA format, latest ISA template, upgrade ISAs, isa_format stamp, render an ISA, ISA HTML, open an ISA in the browser, ISA page, view an ISA. NOT FOR creating new skills (CreateSkill), visual quality critique (ArtDirection), or climbing a target to a measured improvement (HillClimb).

danielmiessler/Personal_AI_Infrastructure Agent Skills author: danielmiessler MIT 31 files body ≈ 2 978 tokens Open the sourcegithub.com↗ analyzed 27 h ago

Owns the Ideal State Artifact (ISA): scaffolds, restates, interviews, discusses, rates, renders, upgrades, and maintains the articulation of a project's ideal…

As a process D 49/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerData and analyticsAI and agentsSoftware developmenttype 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
B
92/100
safety, quality, tests
Safety 60%
98
Quality 40%
83
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Exfiltration net-credential-use Examples/e2-rotate-credential.md:30
      Credential used in a network call (verify the destination is the intended service) (detector / deny-list definition; security demo / example; test fixture / example file)
      - [ ] ISC-1: New token provisioned via the deploy target's API with scope `deploy:write` only — no broader scopes (probe: `curl -H "Authorization: Bearer $NEW_TOKEN" /v1/me` returns scopes `["deploy:w
      detectordemofixture
    • low Exfiltration net-credential-use Examples/e2-rotate-credential.md:48
      Credential used in a network call (verify the destination is the intended service) (test fixture / example file; quoted — discussed, not commanded)
      - [ ] ISC-10: A deploy attempt with the old token returns 401 within 60s of revocation (probe: `curl -H "Authorization: Bearer $OLD_TOKEN" /v1/deploys -X POST` returns 401).
      fixturequoted

    Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
    • note frontmatter-key unknown frontmatter key "evals"

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 30Running it twice. 12 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 10 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2978 tokens
    • 100Progress reporting. Reports progress
    • 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 (6 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
    • +3Description length 884: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 10 items
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.