analyzer

A skill that examines blind comparison results, where reviewers choose between options without knowing their identities, to determine why one option won.

In plain words
What is it for?
It helps explain the reasons behind a comparison outcome and produce suggestions for improving the weaker or future versions.
Why use it?
It turns anonymous preference results into specific lessons instead of stopping at the winning score.

Agent

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.

agentmods
npx agentmods add agents/cherryhq/stella/analyzer
Clone the repo
git clone --depth 1 https://github.com/CherryHQ/stella
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,284 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.02284
Opus 5 $0.00000 $0.01142
Sonnet 5 $0.00000 $0.00457
Haiku 4.5 $0.00000 $0.00228

Measured 2d ago against content hash 28ff495369f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyzer 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 2d 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.

resources/skills/system/skill-creator/agents/analyzer.md · 286 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2d ago First seen · 286 lines · 0 tokens per session scan A 28ff495369f2

Subscribe to this mod's changes

analyzer is an agent published in the GitHub repository CherryHQ/stella (50 stars, last pushed 2d ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 2,284 tokens. 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.

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