agentxp: Skill for Claude Code

.claude/skills/analyze/SKILL.md

analyze is a skill for Claude Code from ai-analyst-lab/agentxp. It costs 43 tokens per session (2,973 once invoked), scanned A, original, Apache-2.0.

A command that runs an approved experiment brief through data checks, statistical analysis, a verdict, and a written readout. A sealed brief is a locked analysis plan that defines what will be tested.

In plain words
What is it for?
Use it to analyze an experiment from its sealed brief, produce a decision, and generate an evidence-backed explanation of the results.
Why use it?
It enforces the plan before reading results, checks whether assignment was balanced, and requires conclusions to come from approved calculations and cited evidence.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions CLAUDE.md.

This is ai-analyst-lab/agentxp's own configuration. It tells Claude Code how to work on agentxp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentxp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ai-analyst-lab/agentxp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ai-analyst-lab/agentxp/main/.claude/skills/analyze/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/agentxp

Made for: Claude Code.

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/ai-analyst-lab/agentxp/analyze/github.svg)](https://agentmods.dev/skills/ai-analyst-lab/agentxp/analyze)
Your own site
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Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyze

Your own site · 80×15
<a href="https://agentmods.dev/skills/ai-analyst-lab/agentxp/analyze"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/agentxp/analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,973 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00043 $0.02973
Opus 5.5 $0.00017 $0.01189
Sonnet 5.5 $0.00009 $0.00595
Haiku 4.5 $0.00004 $0.00297

Measured 2mo ago against content hash c3ff03debe0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

.claude/skills/analyze/SKILL.md · 295 lines

How it starts

The opening of the file, as written. The whole thing — 295 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: /analyze

Purpose

The analyze verb runs from a sealed brief through verdict + readout. Its first action is to verify the brief's three-part integrity lock (design_chain_hash + metric_snapshot + expected_shape). Any mismatch refuses entry; there is no --force.

On verify pass, the loop is fixed by the worldview:

  1. SRM first (R2) — no metric value is read before the assignment ratio is checked
  2. Stats only from the whitelist (R4) — every number comes from agentxp.stats.*
  3. Verdict from the decision tree (R3) — walk_tree() is the only path
  4. Narrator blind to hypothesis direction (R5) — AnalystNarratorBundle enforces this
  5. Critic fires at every commit (R6)
  6. Confidence labels computed, not chosen (R8)
  7. Every readout claim cites an artifact (R7)

When to invoke

Direct: /analyze --brief experiments/<id>/brief.sealed.yaml

Plain-English routing:

Phrase What to do
"Analyze experiment exp_001" /analyze --brief experiments/exp_001/brief.sealed.yaml
"What does the data say" (sealed brief in context) /analyze --brief <path>
"Run the analysis for the checkout test" /analyze --brief <path>
"Analyze before sealing the brief" REFUSE — R1 + R11 require a sealed pre-registration

Procedure (do these in order)

1. Verify the seal (R11 wall)

from pathlib import Path
from agentxp.workflows.analyze import verify_and_open
from agentxp.schemas.brief_seal import BriefSealMismatch

try:
    sealed = verify_and_open(Path(args.brief), Path.cwd())
except BriefSealMismatch as exc:
    print(f"REFUSED: {exc}")
    raise SystemExit(1)

If verify fails: print the specific reason (which lock component, current vs sealed hash), exit. The user resolves the drift (rev the brief, restore the metric, etc.) and re-invokes.

If verify passes: print the experiment id + the integrity-lock receipt (truncated hashes for display).

2. SRM check (R2 — always first)

Before any metric value is read, run SRM:

Read the full file on GitHub · 295 lines

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. 2mo ago First seen · 295 lines · 43 tokens per session scan A c3ff03debe0a

Subscribe to this mod's changes

analyze is a skill published in the GitHub repository ai-analyst-lab/agentxp (12 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 43 tokens to every session and 2,973 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.

Related

analyze compared with skills from other repositories

analyze next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
analyzeai-analyst-lab/agentxpSkill122mo agoApache-2.0A43Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code