ase-meta-evaluate

ase-meta-evaluate is a skill for Claude Code from rse/ase. It costs 50 tokens per session (3,265 once invoked), scanned A, original, Apache-2.0.

A decision-making method that compares alternatives with a weighted scorecard. You assign importance to several criteria, then use them to evaluate two or more choices.

In plain words
What is it for?
Use it when comparing products, tools, plans, or other options and deciding which is the best fit across multiple criteria.
Why use it?
It makes trade-offs explicit and reduces decisions based only on intuition or one appealing feature. The method also requires enough alternatives and a concise reason for the result.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the ase plugin — 50 skills, 8 agents, 5 hooks shipped together

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 skills/rse/ase/ase-meta-evaluate
Any agent
npx skills add rse/ase --skill ase-meta-evaluate
Clone the repo
git clone --depth 1 https://github.com/rse/ase

Made for: Claude Code.

Or install ase, the plugin that ships this one along with the rest of its 50 skills, 8 agents, 5 hooks.

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 ase-meta-evaluate

README.md
[![agentmods](https://agentmods.dev/badge/skills/rse/ase/ase-meta-evaluate.svg)](https://agentmods.dev/skills/rse/ase/ase-meta-evaluate)
Your own site
<a href="https://agentmods.dev/skills/rse/ase/ase-meta-evaluate"><img src="https://agentmods.dev/badge/skills/rse/ase/ase-meta-evaluate.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,265 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00050 $0.03265
Opus 5 $0.00025 $0.01632
Sonnet 5 $0.00010 $0.00653
Haiku 4.5 $0.00005 $0.00327

Measured 6d ago against content hash e65644954a2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

ase-meta-evaluate 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 6d 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.

plugin/skills/ase-meta-evaluate/SKILL.md · 266 lines

How it starts

The opening of the file, as written. The whole thing — 266 lines — stays where its author put it; the contents beside it link to each section on GitHub.

@${CLAUDE_SKILL_DIR}/../../meta/ase-control.md @${CLAUDE_SKILL_DIR}/../../meta/ase-skill.md @${CLAUDE_SKILL_DIR}/../../meta/ase-getopt.md

-   Output the determined reason with just the following <template/>
    and do not output anything else:

    <template>
    <ase-tpl-bullet-secondary/> **REASON**: *<reason/>*
    </template>
</step>

2. - From the derive the two or more alternatives (K=1-N) the user wants to be evaluated. Do not output anything.

-   If fewer than two alternatives could be derived (N<2), output the
    following <template/> and *stop the entire flow* immediately without
    executing any further steps:

    <template>
    <ase-tpl-bullet-signal/> **ERROR: INSUFFICIENT ALTERNATIVES**: at least two are required for a comparison!
    </template>

-   For each alternative <alternative-K/> (K=1-N), decide whether
    you have all necessary information at hand to give it the proper,
    unique, short, and *concise name* <alternative-K/>. If you are
    unsure, use the `ase-meta-search` skill (at most one invocation per
    alternative, drawing from the *skill-wide shared budget* of at
    most 8 `ase-meta-search` invocations in total across STEP 2 and STEP 3
    combined) to find out more and adjust the name <alternative-K/>.

    If still unsure after the shared budget is exhausted, pick the
    best-guess concise name and proceed. Do not output anything.

-   For each alternative <alternative-K/> (K=1-N), decide which *one*
    of *USP* (Unique Selling Point -- what makes it unique), *Crux*
    (what you should notice), or *Gotcha* (what you should not stumble
    over) is its single most distinguishing perspective, and remember
    this as an <info-K/> (K=1-N) formatted like `<type/>: <hint/>` where
    <type/> is one of `USP`, `Crux`, or `Gotcha` and <hint/> is a 1-6
    word hint. Do not output anything.

-   For the set of alternatives, decide what the 1-6 word long
    name of the *class of alternatives* <class-of-alternatives/> is.
    Do not output anything.

-   For each alternative <alternative-K/> (K=1-N), decide whether
    it is a genuine member of <class-of-alternatives/>. If any
    <alternative-K/> is *not* a member (i.e. the alternatives are not
    mutually comparable within a single class), output the following
    <template/> (repeating the `⚑` line once per non-member
    alternative, i.e. once for each <alternative-K/> for which the
    membership decision was negative) and *stop the entire flow*
    immediately without executing any further steps:

    <template>
    <ase-tpl-bullet-signal/> **ERROR: INCOMPARABLE ALTERNATIVES**: *<class-of-alternatives/>*

    ⚑ **<alternative-K/>** (*member of a different class*)
    </template>

-   Output the determined, individual alternatives as a Markdown
    *table* with just the following <template/> and do not output
    anything else:

    <template>
    <ase-tpl-bullet-normal/> **ALTERNATIVES**: *<class-of-alternatives/>*

    | ⚑ *Alternative*        | ⚖ *Hint*  |
    | :--------------------- | :-------- |
    | ⚑ **<alternative-1/>** | <info-1/> |
    [...alternatives K=2-(N-1) for N>2...]
    | ⚑ **<alternative-N/>** | <info-N/> |
    </template>
</step>

Read the full file on GitHub · 266 lines

Files

What ships with it

1 file 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. 6d ago First seen · 266 lines · 50 tokens per session scan A e65644954a2d

Subscribe to this mod's changes

ase-meta-evaluate is a skill published in the GitHub repository rse/ase (47 stars, last pushed 8d ago), licensed Apache-2.0. It adds 50 tokens to every session and 3,265 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

hns-lsel-curator

Local Self-Evolution Loop (LSEL) curator — the CLUSTER + drain engine for the GOOS-local PROPOSE→APPLY seam closure (SPEC-LSEL-LOCAL-EVOLUTION-001). Companion-offset drain of .moai/lessons-inbox.jsonl with a drain-side severity filter that drops the 65% Bash-timeout/sandbox noise, eventkey clustering with a frequency…

modu-ai/moai-adk · 135 tokens

moai-workflow-worktree

Git worktree management for parallel SPEC development with isolated workspaces, automatic branch registration, and seamless MoAI-ADK integration. Use when setting up parallel development environments.

modu-ai/moai-adk · 41 tokens

hns-workflow-ci-loop

Unified CI watch + auto-fix loop skill. Polls gh pr checks after /moai sync PR creation, classifies required vs auxiliary failures, attempts safe automated patches (max 3 iterations), and escalates semantic failures to the user. Use for CI loop workflow — NOT for general loop iteration patterns (see…

modu-ai/moai-adk · 76 tokens

moai-harness-learner

Harness learning subsystem coordinator. Produces Tier 4 auto-update proposal payloads consumed by the orchestrator (which surfaces them via AskUserQuestion) and orchestrates Apply/Rollback flows. Triggers when harness learning proposals are pending or learning lifecycle management is needed.

modu-ai/moai-adk · 61 tokens

moai-kanban-foreman

One unattended kanban foreman iteration: watch the backlog queue, dispatch the next operator-picked card to an isolated worker, collect completion evidence on read (not on claims), and report. This is the body the project's loop.md driver invokes each iteration of a bare /loop; it can also be invoked directly to test…

modu-ai/moai-adk · 76 tokens

hns-oss-docs-readme-sync

README 4-file synchronization procedure for the oss-docs harness: Korean README.ko.md as primary source, en/ja/zh derivation, the shared language-switcher header contract, section-order parity checklist, and the manual verification recipe (no linter exists for READMEs). Loaded by the content-author and…

modu-ai/moai-adk · 83 tokens