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Analyze

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ericrisco
analyze

Use when constitution, spec, plan and tasks all exist and you want them cross-read against each other before any code is written — the rsc-sdd pre-implementation gate. Reports coverage gaps, contradictions, duplication, ambiguity and scope drift; edits nothing. NOT the task breakdown (that is `tasks`), NOT the coding (that is `implement`), NOT the post-code test gate (that is `verify`), NOT resolving ambiguity (that is `clarify`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill nameanalyze
Stars
239
Forks
24
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the Analyze AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/analyze
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/analyze .claude/skills/analyze
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Analyze in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Analyze on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Analyze is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Analyze — the pre-implementation consistency gate

You have a constitution, a spec, a plan and a task list. Four artifacts written at four different moments, by a mind that drifted a little each time. analyze reads all four against each other and surfaces where they disagree. It is the cheapest place in the whole chain to catch a problem — a contradiction found here costs a sentence; the same contradiction found mid-implement costs a rewrite.

Sixth phase of the rsc-sdd chain (constitution → specify → clarify → plan → tasks → analyze → implement); the method itself lives in ../sdd/SKILL.md. It is a gate, not a worker: it produces a report and stops. The user reads the findings and decides what to fix, and which phase to send each fix back to.

Report only. Resolve nothing. Never edit the constitution, spec, plan or tasks; never open a code file to "just fix it"; never silently reconcile a contradiction by picking a side. This one is absolute because a gate that quietly fixes things stops being a gate: the user never learns the spec was wrong, the plan built on the old assumption stays stale, and the "consistency check" has manufactured a new inconsistency. Name the conflict, show both sides with locations, propose where it should be resolved, hand the decision back.

Model tier: heavy (adversarial cross-reading). Resolve and apply it per ../sdd/references/model-routing.md; routing is off unless models.enabled: true in 02-DOCS/wiki/sdd/config.yaml.

Register. Read technical_level in 02-DOCS/wiki/harness/user-profile.md before reporting; with no profile, use analogies and say the harness has not set the register yet. The register changes how the report reads, never what gets checked; the six analyses always run in full.

The report is the same for every reader: a finding table (severity, the two artifacts, the conflict in one line), a one-line why it matters per CRITICAL/HIGH finding, and per finding the recommended resolution phase and the trade-off of leaving it. For a non-technical reader, explain the consequence at implement time with an everyday analogy so they can choose.

Inputs — locate the four artifacts

Read all four before analyzing. The rsc-sdd artifacts live under 02-DOCS/wiki/sdd/, indexed from 02-DOCS/wiki/index.md (the Knowledge map; root CLAUDE.md keeps only a short pointer to it):

ArtifactCanonical locationRole in the check
Constitution02-DOCS/wiki/sdd/constitution.mdThe non-negotiables. Everything below must obey it.
Spec02-DOCS/wiki/sdd/specs/<slug>.mdWHAT & WHY. The source of truth for requirements.
Plan02-DOCS/wiki/sdd/plans/<slug>.mdHOW. Must cover every spec requirement, add nothing the spec didn't ask for.
Taskstask list inside the plan artifactThe ordered, verifiable steps. Must implement the plan, no more.

If any artifact is missing, stop and say so — analyze cannot gate what isn't there. Name the missing one and the phase that produces it. If a <slug> is ambiguous (several specs), ask which feature is being gated; do not analyze all of them blindly.

The six analyses

Run every one. Each compares a specific pair (or the whole set against the constitution) and emits findings.

  1. Constitution compliance — does any spec requirement, plan decision or task violate a non-negotiable (stack canon, quality bar, convention)? A constitution breach is the highest-severity finding there is; the constitution wins by definition.
  2. Requirement coverage (spec → plan → tasks) — map every spec requirement forward. Each must trace to at least one plan section and at least one task. A requirement with no task is a gap (it will silently not ship). Build the coverage map below.
  3. Scope drift (tasks/plan → spec) — map backward. Any plan section or task that satisfies no spec requirement is drift — work the spec never asked for. Flag it; the fix is either cut the work or amend the spec, and that is the user's call.
  4. Contradiction — direct disagreements between two artifacts: the spec says Postgres, the plan says SQLite; the spec says "no auth in v1", a task adds login. Quote both sides.
  5. Duplication — the same requirement stated twice in conflicting words, or two tasks doing the same job. Duplication is where contradictions breed later.
  6. Ambiguity / underspecification — requirements or tasks too vague to implement or to verify ("handle errors gracefully", "make it fast" with no number, a task with no done-check). These do not block by themselves but feed back to clarify (spec) or tasks (missing done-check).
    • Carrier completeness (isolated-implementer check). Because implement/parallel dispatch tasks to context-isolated developer subagents that see only their own task, also confirm the plan carries a §0 Global Constraints block (verbatim project-wide values) and that every task whose correctness depends on a contract it doesn't own has an Interfaces block (Consumes/Produces, exact signatures). A constraint or neighbor-signature that lives only in prose is invisible to the blind worker — flag a missing carrier as AMBIGUOUS (it will surface as drift or breakage at implement time). See ../plan/references/plan-template.md §0 and ../tasks/SKILL.md (Per-task Interfaces).

Requirement coverage map (build this every run)

A copy-able table that makes gaps and drift visible at a glance:

text
REQ-ID | Spec requirement (short)        | Plan section | Task(s) | Status
------ | ------------------------------- | ------------ | ------- | ----------
R1     | Email/password sign-up          | §3 Auth      | T2,T3   | covered
R2     | Rate-limit login (5/min/IP)     | §3 Auth      | —       | GAP
R3     | —                               | §5 Webhooks  | T9      | DRIFT
R4     | "Fast" search                   | §4 Search    | T6      | AMBIGUOUS (no metric)
  • GAP — spec requirement with no task → it won't be built.
  • DRIFT — plan/task with no spec requirement → unrequested scope.
  • AMBIGUOUS — covered but not specific enough to verify later.
  • covered — traces cleanly spec → plan → task.

Severity scale

Rank every finding so the user triages fast:

  • CRITICAL — constitution violation, or a contradiction that makes the artifacts un-implementable as written. Must resolve before implement.
  • HIGH — a coverage GAP on a core requirement, or scope DRIFT that adds real cost. Resolve before implement.
  • MEDIUM — duplication, or AMBIGUOUS items with no number/done-check. Resolve or consciously accept.
  • LOW — wording mismatches, cosmetic inconsistencies. Note and move on.

Output — the report (and where it goes)

Produce a single consistency report:

  1. Verdict line — GATE: PASS (zero CRITICAL/HIGH) or GATE: BLOCKED (one or more CRITICAL/HIGH), with the counts.
  2. Coverage map — the table above.
  3. Findings table — # | Severity | Type | Artifact A (loc) | Artifact B (loc) | Conflict | Resolve in (phase).
  4. Recommended routing — group fixes by the phase that owns them (clarify for spec ambiguity, plan for missing architecture, tasks for a missing done-check, constitution if a principle itself is wrong). If findings pour in across all six checks, the artifacts diverged badly — recommend re-running clarify/plan before a line-by-line analyze is even useful.

Write the report to 02-DOCS/wiki/sdd/analysis/<slug>.md (create the dir if absent) and index it in 02-DOCS/wiki/index.md under the sdd/ topic, so the next phase and the harness can find it. It is an OKF v0.1 wiki article: open it with YAML frontmatter carrying a non-empty type: (use type: analysis), a timestamp in ISO 8601, and standard markdown links — never wikilinks. The report is the artifact analyze owns — it is the only thing analyze writes. Per-run point-in-time; overwrite on re-run, the wiki keeps history.

Render it in the orient voice, in the user's register. Do not log a decision to decisions.md — analyze decides nothing; the phase that resolves the finding logs its own decision.

Anti-patterns

Anti-patternWhy it breaks the gate / do instead
Fixing a "trivial" contradiction in the spec yourselfThen you are clarify/plan/tasks, not analyze. Report it; the user resolves.
Starting to code because nothing CRITICAL turned upAnalyze never transitions to code. Hand the verdict to implement; that phase starts the work.
Waving through plan work the spec never asked for because it's obviously a good ideaThat is DRIFT. Flag it. Good ideas still need the spec amended (user's call), or they are silent scope creep.
Siding with the plan when it contradicts the constitutionThe constitution wins by definition — flag CRITICAL. If the principle itself is wrong, that is a constitution change the user makes, not a quiet override here.
Guessing what a vague requirement meantGuessing defeats the gate. Mark AMBIGUOUS and route to clarify; do not encode your guess.

Result envelope

End with the parseable block every SDD phase shares, so the dispatcher can chain without interpreting prose (contract: ../sdd/SKILL.md):

json
{
  "status": "complete|blocked|failed",
  "executive_summary": "Cross-read of spec/plan/tasks against the constitution; findings ranked.",
  "artifact": "02-DOCS/wiki/sdd/analysis/<slug>.md",
  "next_recommended": "implement",
  "risk": "low|medium|high",
  "skill_resolution": {
    "used": ["analyze"],
    "missing": [],
    "fallback": [],
    "compact_rules": ["Read adversarially across artifacts, not inside one.", "A finding without a location is an opinion."]
  },
  "evidence": ["report path exists", "blockers listed with artifact + location", "constitution conflicts named"]
}

Next in the chain

On GATE: PASS (or once the user consciously accepts the remaining MEDIUM/LOW findings), proceed to implement — execute the tasks with TDD discipline, delegating concrete test tooling to the relevant stack skill (fastapi, nextjs, go, flutter, postgresdb). On GATE: BLOCKED, route each CRITICAL/HIGH finding to its owning phase (clarify, plan, tasks, or constitution), let the user resolve, then re-run analyze. The gate only opens once.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Analyze AI skill do?

Use when constitution, spec, plan and tasks all exist and you want them cross-read against each other before any code is written — the rsc-sdd pre-implementation gate. Reports coverage gaps, contradictions, duplication, ambiguity and scope drift; edits nothing. NOT the task breakdown (that is `tasks`), NOT the coding (that is `implement`), NOT the post-code test gate (that is `verify`), NOT resolving ambiguity (that is `clarify`).

Why use Analyze on TypingMind?

Because you install it once and use it with any model. Analyze is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Analyze in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/analyze. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Analyze?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Analyze?

As many as you like. As long as a model supports skills, you can use Analyze with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Analyze AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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