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Agent skill

Analyze

by evidentloop in evidentloop/sopify

Analyze phase entry. An agent skill from evidentloop/sopify.

Apache-2.0Auto-check passed

Install Analyze

skills CLI
$ npx skills add evidentloop/sopify --skill analyze -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install evidentloop/sopify analyze --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/evidentloop/sopify.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/skills/sopify/analyze .claude/skills/analyze && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
analyze
GitHub stars
372
Token cost
~486 tokens
SKILL.md length
182 words
Files
5 (incl. scripts, references, assets)
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

Analyze phase entry. An agent skill from evidentloop/sopify.

  • Works in 5 steps: Load references/analyze-rules.md first. → Read user-supplied material and relevant… → If the score is below threshold, follow… → …
  • SKILL.md covers When to activate, Execution skeleton, Resource navigation and Deterministic logic first, plus 1 more section
  • Runs Python scripts from its folder; calls python3

What it does

Analyze is an agent skill from evidentloop/sopify. Analyze phase entry. Aggregates scoring, follow-up, and scope-check rules; loads references/assets/scripts on demand.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts, reference files and assets (for example `assets/question-output.md`, `assets/success-output.md` and `references/analyze-rules.md`).

The repository describes itself as: Resumable, traceable AI coding — plans, handoffs, and evidence stay with the repo across hosts. The licence is Apache-2.0.

Example prompts

  • “/analyze”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Load references/analyze-rules.md first.
  2. Read user-supplied material and relevant code, separate the objective, deliverable, and candidate path, then score completeness.
  3. If the score is below threshold, follow auto_decide
  4. After the score passes, hand off confirmed success criteria, scope, evidence, and unknowns that could still affect the result.
  5. Render the phase summary with assets/success-output.md.

What it can do on your machine

Read from SKILL.md and the folder at commit 9d9b319. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Analyze loads about 486 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 31 tokens; SKILL.md has 182 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~31
When it runs · the whole SKILL.md, loaded when a task matches
~486
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from evidentloop/sopify at commit 9d9b319, republished under its Apache-2.0 licence (© evidentloop). 182 words, ~486 tokens.

Download SKILL.mdSave it as .claude/skills/analyze/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.
name
analyze
description
Analyze phase entry. Aggregates scoring, follow-up, and scope-check rules; loads references/assets/scripts on demand.

Analyze (Entry)

Read the evidence first, then separate the objective, deliverable, and candidate path.

When to activate

  • Entering the analysis phase (workflow / plan_only).
  • Need requirement scoring, clarification, or complexity routing.

Execution skeleton

  1. Load references/analyze-rules.md first.
  2. Read user-supplied material and relevant code, separate the objective, deliverable, and candidate path, then score completeness.
  3. If the score is below threshold, follow auto_decide:
    • false: ask follow-up questions with assets/question-output.md.
    • true: state explicit assumptions, then continue.
  4. After the score passes, hand off confirmed success criteria, scope, evidence, and unknowns that could still affect the result.
  5. Render the phase summary with assets/success-output.md.

Resource navigation

  • Long rules: references/analyze-rules.md
  • Shared writing standards: ../references/shared-writing-dna.md (apply to all output)
  • Output contract: ../references/output-contract.md (required sections, conditional enhancement, self-check)
  • Follow-up template: assets/question-output.md
  • Success template: assets/success-output.md
  • Deterministic scoring script: scripts/score_requirement.py

Deterministic logic first

Use the script when the score must be auditable:

bash
python3 skills/en/skills/sopify/analyze/scripts/score_requirement.py \
  --goal-clarity 2 \
  --expected-outcome 2 \
  --scope-boundary 1 \
  --constraints 1 \
  --require-score 7

The script returns JSON with total score, threshold result, and missing dimensions.

Boundaries

  • This skill does not generate a plan package directly; hand off to design.
  • This skill does not execute code changes directly; hand off to develop.

© evidentloop, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (scripts, references, assets) in skills/en/skills/sopify/analyze of evidentloop/sopify.

  • SKILL.md
  • assets/question-output.md
  • assets/success-output.md
  • references/analyze-rules.md
  • scripts/score_requirement.py

Open the folder on GitHubat commit 9d9b319

Compare with similar skills

Analyze next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Analyze compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Analyze this skillevidentloop/sopify372—~486Automated safety check: PassApache-2.0
Claw Scoreopenclaw/openclaw392k—~2.5kAutomated safety check: PassMIT
Harness Scoreruvnet/ruflo74k—~605Automated safety check: NotesMIT
Ddd Aggregateruvnet/ruflo74k—~774Automated safety check: NotesMIT
Changelog Entrysickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassMIT
Score Evalsickn33/agentic-awesome-skills47k1 repos~304Automated safety check: PassMIT

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Questions about Analyze

What does Analyze do?

Analyze phase entry. An agent skill from evidentloop/sopify. Analyze is an agent skill from evidentloop/sopify. Analyze phase entry.

How do I install Analyze in Claude Code?

Run `npx skills add evidentloop/sopify --skill analyze -a claude-code`. Or copy the skill folder (skills/en/skills/sopify/analyze in evidentloop/sopify) into .claude/skills/analyze in your project. Claude Code loads it when a task matches its description.

How do I install Analyze in Codex?

Run `npx skills add evidentloop/sopify --skill analyze -a codex`. Or copy the skill folder (skills/en/skills/sopify/analyze in evidentloop/sopify) into .agents/skills/analyze in your project. Codex loads it when a task matches its description.

Can I use Analyze in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add evidentloop/sopify --skill analyze -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/analyze, .gemini/skills/analyze, .github/skills/analyze and .opencode/skills/analyze in your project.

What does Analyze need to run?

Going by SKILL.md and its folder, Analyze needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Analyze access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Analyze safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Analyze use?

Analyze is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Analyze use?

About 486 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 785 tokens, read only when the agent opens those files.

What are the alternatives to Analyze?

Skills that share tags, products or a category with Analyze: Claw Score (openclaw/openclaw, 392k stars), Harness Score (ruvnet/ruflo, 74k stars), Ddd Aggregate (ruvnet/ruflo, 74k stars) and Changelog Entry (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Analyze?

evidentloop (a GitHub organization) maintains it in evidentloop/sopify, which has 372 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 30, 2026.

Source: evidentloop/sopify on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.