Assessment Sequence Governance logo

Assessment Sequence Governance

Organization
zero-lab-ai
assessment-sequence-governance

Validates supplied immutable ordered manifests of opaque defensive assessment actions for authority, safeguards, evidence, and separate-operator review. Use when reviewing assessment sequencing without creating, changing, or executing actions.

Overview

Publisherzero-lab-ai
Repositoryskills
Skill nameassessment-sequence-governance
Stars
232
Forks
14
Bundled files
2
LicenseApache-2.0
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.

  • 2 bundled files

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

  • Open source

    Published by zero-lab-ai on GitHub. Read the source before you install it.

Installation

Install the Assessment Sequence Governance 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.
    https://github.com/zero-lab-ai/skills/tree/main/plugins/engagement-operations/skills/assessment-sequence-governance
  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/zero-lab-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/engagement-operations/skills/assessment-sequence-governance .claude/skills/assessment-sequence-governance
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Assessment Sequence Governance 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 Assessment Sequence Governance 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 Assessment Sequence Governance 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.

Assessment sequence governance

When to Use

  • Reviewing assessment sequencing without creating, changing, or executing actions.
  • Use only within explicit authorization and the stated rules of engagement.

When NOT to Use

  • Do not treat this skill as permission to access, test, or change a target.
  • Do not convert missing evidence into a clean result or a stronger claim.

Purpose

Validate a supplied ledger without designing the assessment. A passing result means only that the recorded sequence is internally consistent for separate review. It is never execution authority.

Boundary

Never create, select, add, remove, reorder, rank, or substitute actions or dependencies. Never choose targets, routes, tactics, timing, or tools. Never schedule or run anything. Do not provide commands, queries, configurations, credentials, payloads, protocols, infrastructure, stealth, or deployment guidance. Accept opaque identifiers and digests only.

Workflow

  1. Obtain the already-supplied immutable ledger and confirm the operator wants an offline governance review.
  2. Stop if the material contains operational instructions or live identifiers. Do not quote the rejected value.
  3. Preserve the supplied manifest and action order byte-for-byte. Do not repair missing actions, dependencies, bindings, or evidence.
  4. Reject malformed shapes, types, references, timestamps, digests, restricted content, duplicate identifiers, and an empty assessment universe.
  5. Keep manifest integrity separate from action identity, authority, prerequisites, environment, budget, stop, cleanup, and custody coverage.
  6. Require exact action, sequence, manifest, scope, environment, policy, authority, and window joins. Similar-looking records never substitute.
  7. Preserve supplied predecessor sets. Verify acyclicity, contiguous ordinals, and predecessor chronology; do not improve or reorder the sequence.
  8. Treat budgets as nontransferable reservations with nonnegative integer attempts, duration, impact, and evidence-byte dimensions.
  9. Require a passed stop pretest, an armed available stop, and exact action-set binding. Bind canonical budget, stop, and cleanup fingerprints through the authority and every supporting evidence record.
  10. Accept cleanup not-required only with exact current policy proof. Never infer cleanup from silence.
  11. Count every action against all nine required coverage roles. Never omit a blocked, prohibited, or historical action.
  12. Derive the gate in precedence order: prohibited, approval-required, blocked, then sequence-consistent.
  13. Treat a recorded handoff as historical custody of review work, not permission. Derive withdrawal-required after authority expiry or revocation, manifest or action drift, budget exhaustion, a fired or lost stop, cleanup loss, or custody loss.
  14. Accept withdrawn only from a later exact withdrawal receipt. Never infer retry, resumption, or restored authority.

Report

State the manifest identifier, derived gate, handoff state, contradictions, coverage gaps, and withdrawal obligations. Add: “Internal consistency only; separate review is required; no execution authority is granted.”

Rationalizations to reject

  • “The order is obviously intended.” Intent cannot repair an immutable manifest.
  • “A nearby authorization is close enough.” Authority is an exact tuple.
  • “Unused budget can move to another action.” Reservations do not transfer.
  • “The stop can be tested later.” Readiness requires a passed prior pretest.
  • “No cleanup is probably needed.” Not-required needs current policy proof.
  • “A recorded handoff permits the run.” Handoffs grant no authority.
  • “We can reorder one dependency to make it safe.” This skill never edits the supplied sequence.
  • “The record is complete, so proceed.” Completeness means internally consistent for separate review only.

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 Assessment Sequence Governance AI skill do?

Validates supplied immutable ordered manifests of opaque defensive assessment actions for authority, safeguards, evidence, and separate-operator review. Use when reviewing assessment sequencing without creating, changing, or executing actions.

Why use Assessment Sequence Governance on TypingMind?

Because you install it once and use it with any model. Assessment Sequence Governance 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 Assessment Sequence Governance in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zero-lab-ai/skills/tree/main/plugins/engagement-operations/skills/assessment-sequence-governance. 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 Assessment Sequence Governance?

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 Assessment Sequence Governance?

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

Is the Assessment Sequence Governance AI skill free?

Yes. It is published on GitHub by zero-lab-ai under the Apache-2.0 license. 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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