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Aeon Skill Evals

OrganizationPopular
BankrBot
aeon-skill-evals

Validate the output of any installed skill against an assertion manifest — word counts, required patterns, forbidden phrases, required sections, source citation. Detects regressions by diffing vs prior runs (NEW_FAIL / NEW_PASS / CHRONIC / STABLE_FAIL). Bootstrap mode generates a starter manifest from a skill's recent successful runs so manifests aren't written speculatively. Triggers: "evaluate this skill's output", "check skill X for regressions", "bootstrap evals for Y", "did this skill output pass quality gates".

Overview

PublisherBankrBot
Repositoryskills
Skill nameaeon-skill-evals
Stars
1.2K
Forks
622
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by BankrBot on GitHub. Read the source before you install it.

Installation

Install the Aeon Skill Evals AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/BankrBot/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/aeon-skill-evals .claude/skills/aeon-skill-evals
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Aeon Skill Evals in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Aeon Skill Evals on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Aeon Skill Evals is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

aeon-skill-evals

Quality net for installed skills. Each skill can declare an assertion manifest; outputs are checked against it; failing assertions surface regressions and route concrete fixes.

Manifest format

yaml
token-movers:
  min_words: 200
  required_patterns: ["Top movers", "24h"]
  forbidden_patterns: ["I cannot", "as an AI"]
  must_cite_source: true
  min_distinct_items: 5

narrative-tracker:
  min_words: 400
  required_sections: ["TRANSITIONS", "POSITIONS", "MAP"]
  forbidden_patterns: ["exciting", "consider"]
  must_have_position_call: true

Supported assertions: min_words / max_words, required_patterns / forbidden_patterns, required_sections, must_cite_source, min_distinct_items, output_pattern (regex), and per-skill-family custom binary checks.

Operations

  • eval — run every manifest-defined skill against its latest output.
  • eval --skill=NAME — one skill.
  • bootstrap --skill=NAME — generate a starter manifest from recent successful runs.

Regression states

StateAction
NEW_FAILPassing last run, failing now. Severity scales with pass streak.
NEW_PASSFailing last run, passing now. Log the win.
CHRONICFailing > 3 consecutive runs. Recommend operator review.
STABLE_FAILAlways failing. Manifest assertion mismatch — flag for review.

State in local evals-state.json.

Bootstrap mode

Samples last 5 successful runs of a skill. Computes:

  • min_words at p25 of historical runs.
  • Required patterns from common section headers.
  • Forbidden patterns from default list (refusals, hedging filler).

Emits the proposed manifest for review. Never auto-commits — assertions need a human signoff.

Rules

  • Assertions are observations, not specifications. Bootstrap before writing speculatively.
  • Forbidden patterns catch hallucination markers and refusals. Keep the list tight; don't lint stylistic choices.
  • Chronic failures get a recommendation, not a re-file.
  • Manifest changes are reviewed; never auto-edited by this skill.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Aeon Skill Evals AI skill do?

Validate the output of any installed skill against an assertion manifest — word counts, required patterns, forbidden phrases, required sections, source citation. Detects regressions by diffing vs prior runs (NEW_FAIL / NEW_PASS / CHRONIC / STABLE_FAIL). Bootstrap mode generates a starter manifest from a skill's recent successful runs so manifests aren't written speculatively. Triggers: "evaluate this skill's output", "check skill X for regressions", "bootstrap evals for Y", "did this skill output pass quality gates".

Why use Aeon Skill Evals on TypingMind?

Because you install it once and use it with any model. Aeon Skill Evals is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Aeon Skill Evals in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BankrBot/skills/tree/main/aeon-skill-evals. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Aeon Skill Evals?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Aeon Skill Evals?

As many as you like. As long as a model supports skills, you can use Aeon Skill Evals with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Aeon Skill Evals AI skill free?

It is published on GitHub by BankrBot. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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