analyze

analyze is a skill for Claude Code, Codex from DmitriyYukhanov/claude-plugins. It costs 98 tokens per session (1,189 once invoked), scanned A, original, MIT.

A guide-building tool that reads source files or planning documents and creates a structured learning-guide specification for another tool to render.

In plain words
What is it for?
Use it to create interactive tours, onboarding documentation, or learning modules from a codebase, refactor plan, planning session, or other document.
Why use it?
It removes the need to manually turn code or project notes into an organized onboarding guide with links, references, and knowledge checks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the learning-guide plugin — 3 skills shipped together

Good fit Use it to create interactive tours, onboarding documentation, or learning modules from a codebase, refactor plan, planning session, or other document.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dmitriyyukhanov/claude-plugins/analyze
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add DmitriyYukhanov/claude-plugins --skill analyze
Clone the repo
git clone --depth 1 https://github.com/DmitriyYukhanov/claude-plugins

Made for: Claude Code, Codex.

Or install learning-guide, the plugin that ships this one along with the rest of its 3 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyze

README.md
[![agentmods](https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/analyze.svg)](https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/analyze)
Your own site
<a href="https://agentmods.dev/skills/dmitriyyukhanov/claude-plugins/analyze"><img src="https://agentmods.dev/badge/skills/dmitriyyukhanov/claude-plugins/analyze.svg" alt="Measured on agentmods" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,189 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.01189
Opus 5 $0.00049 $0.00594
Sonnet 5 $0.00020 $0.00238
Haiku 4.5 $0.00010 $0.00119

Measured 7d ago against content hash 5336ad062743, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

analyze scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/learning-guide/skills/analyze/SKILL.md · 66 lines

How it starts

The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyze — Tour Spec Authoring

Read input artifact(s) and write a tour-spec.json that the renderer consumes. Hand off to learning-guide:render at the end.

Trigger phrases

  • "create a learning guide for X"
  • "make an interactive tour"
  • "generate onboarding doc"
  • "build a learning module from this session"

Inputs to collect from the user

  1. Source artifact path(s) — required. One or more files/folders.
  2. Output directory — default <input-parent>/learning/.
  3. Archetype hint — optional; auto-detect with these rules:
    • Filename ends .observations.md OR YAML frontmatter contains session_date:planning-session.
    • Input is a directory of source files with no obvious doc layer → codebase.
    • Input contains "Phase 1", "Phase 2", "rollout", "blockers" structure → refactor-plan.
    • Otherwise → generic.
  4. Language — auto-detect from input text dominance; require >80% single-locale tokens to commit, otherwise default en. Always state the detected language and offer an override before drafting.

Flow

  1. Resolve inputs. Confirm path(s) and output dir before reading anything large. Reject non-existent paths.
  2. Pick archetype. Auto-detect, state the choice, ask the user to confirm or override.
  3. Load archetype reference. Read references/archetype-<name>.md.
  4. Survey the input.
    • Codebase: structured exploration — entry points, module map, control flow.
    • Doc: top-to-bottom read.
    • Session: lift decisions, blockers, files-touched.
  5. Discover embedded sources. Look for user-authored markdown referenced from the input (links, frontmatter artifacts: lists, sibling .md files). If none found AND archetype is codebase or generic, plan to synthesize tour-companion.md per references/synthesis-contract.md.
  6. Discover external link tokens. Scan input for ticket/issue patterns. Ask the user for URL templates (e.g., TICKET-https://tracker.example.com/browse/TICKET-{id}). Templates must start with http://, https://, or mailto: and contain {id} — the renderer rejects other schemes.
  7. Discover cross-ref patterns. Per references/cross-ref-design.md. Propose only token-shaped patterns; bare words are forbidden. Show the user the proposed list, get confirmation.
  8. Draft the tour spec. Follow the archetype's section outline. Each section gets a markdown body, optional inline quiz. Synthesize tour-companion.md if planned in step 5. Use references/spec-authoring.md for body_md style.
  9. Quality gates. Before handoff, verify:
    • Every section has non-empty body_md.
    • Every section with level >= 2 has a parent (the renderer rejects a spec that violates this — the JSON Schema only hints it for editors).
    • Every cross-ref pattern uses a non-bare-word token shape, names an existing source, AND its anchor_format resolves to a heading in that source. Heading anchors are bare slugs with no section- prefix (see references/cross-ref-design.md).
    • Every external_links template starts with an allowed scheme (http(s):// / mailto:) and contains {id}.
    • Every quiz answer_index is in [0, options.length-1].
    • Mermaid blocks parse as valid (best-effort regex on the first non-blank line).
  10. Hand off to render. Invoke learning-guide:render with the spec path. No "shall I render?" gate — render is cheap and idempotent.

Read the full file on GitHub · 66 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 66 lines · 98 tokens per session scan A 5336ad062743

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository DmitriyYukhanov/claude-plugins (7 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 1,189 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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