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Ai Agent Tooling And Hitl

Community
peterbamuhigire
ai-agent-tooling-and-hitl

Use when designing agent tool catalogs, tool schemas, action gating, human approval, and human-in-the-loop control for agentic AI systems.

Overview

Publisherpeterbamuhigire
Repositorychwezi-dev-engine
Skill nameai-agent-tooling-and-hitl
Stars
29
Forks
6
Bundled files
11
LicenseMIT
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.

  • 11 bundled files

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

  • Open source

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

Installation

Install the Ai Agent Tooling And Hitl 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/peterbamuhigire/chwezi-dev-engine/tree/main/skills/ai/ai-agent-tooling-and-hitl
  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/peterbamuhigire/chwezi-dev-engine.git /tmp/chwezi-dev-engine
mkdir -p .claude/skills
cp -r /tmp/chwezi-dev-engine/skills/ai/ai-agent-tooling-and-hitl .claude/skills/ai-agent-tooling-and-hitl
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Agent Tooling And Hitl 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 Ai Agent Tooling And Hitl 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 Ai Agent Tooling And Hitl 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.

AI Agent Tooling And HITL

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use When

  • Design tool catalogs, tool contracts, action scopes, and approval gates for agents.
  • Decide when an agent action requires human review, confirmation, or escalation.
  • Integrate agent tools with audit logs, reversibility, tenant policy, and runtime budgets.

Do Not Use When

  • The work is not AI-specific or agentic-AI-specific.
  • A narrower retained AI parent skill fits the request better.

Required Inputs

  • Product, tenant, user, data, risk, and operational context relevant to the AI workflow.
  • Target artifact: design, implementation plan, audit, test strategy, UX flow, commercial policy, or runbook.
  • Constraints from security, privacy, reliability, billing, support, and compliance stakeholders when relevant.

Workflow

  1. Read this SKILL.md first.
  2. Load references/routing.md to select the absorbed child reference that matches the task.
  3. Load only the selected child reference files needed for the current request.
  4. Produce execution-oriented output with assumptions, risks, evidence, and next actions where relevant.

Quality Standards

  • Keep routing explicit: name which reference files were used when the work depends on absorbed material.
  • Preserve tenant isolation, auditability, cost controls, safety gates, and operational evidence when they matter.
  • Prefer concrete contracts, checklists, tables, schemas, runbooks, and decision records over broad summaries.

Anti-Patterns

  • Loading every absorbed reference by default.
  • Treating AI-specific billing, compliance, safety, or UX concerns as generic SaaS work without checking AI failure modes.
  • Hiding retired skill names; old slugs must remain discoverable through references/routing.md.

Outputs

  • A concrete deliverable matched to the request: architecture, implementation plan, audit, policy, runbook, UX flow, test strategy, or operating model.
  • The selected consolidated reference files and any assumptions, risks, evidence requirements, or follow-up actions that affect execution.

References

Consolidated Child References

Evidence Produced

CategoryArtifactFormatExample
SecurityTool action and approval matrixMarkdown/YAMLtool, arguments, tenant scope, reversibility, approver, timeout, and denied case

Inputs

ArtefactRequired?Purpose
Tool schemas and side-effect classificationyesDefine callable actions
Identity, tenant, approval, and budget policyyesEnforce authority
Reversal and audit requirementsyesBound consequences

Capability contract

Default to read-only tool design. Tool invocation, approval simulation, and side-effect testing require isolated fixtures and explicit execution authority.

Degraded mode

Fallback without executable tools: validate schemas, permission scopes, approval policy, and reversal design statically; mark runtime enforcement unverified.

Decision rules

Action classGateFailure avoided
Read-only, low sensitivityPolicy-scoped automatic callApproval fatigue
Reversible mutationConfirm policy and log resultSilent unwanted change
Irreversible, financial, external, or privilegedJust-in-time human approvalUnauthorised impact

Domain anti-patterns

  • Giving one tool broad multi-action scope. Fix: expose narrow, typed actions.
  • Trusting prompt text for authorisation. Fix: enforce identity and policy outside the model.
  • Asking approval after execution. Fix: gate before side effects.
  • Omitting idempotency and reversal. Fix: define both for every mutation.
  • Logging arguments without protecting secrets. Fix: redact and classify audit fields.

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 Ai Agent Tooling And Hitl AI skill do?

Use when designing agent tool catalogs, tool schemas, action gating, human approval, and human-in-the-loop control for agentic AI systems.

Why use Ai Agent Tooling And Hitl on TypingMind?

Because you install it once and use it with any model. Ai Agent Tooling And Hitl 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 Ai Agent Tooling And Hitl in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/peterbamuhigire/chwezi-dev-engine/tree/main/skills/ai/ai-agent-tooling-and-hitl. 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 Ai Agent Tooling And Hitl?

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 Ai Agent Tooling And Hitl?

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

Is the Ai Agent Tooling And Hitl AI skill free?

Yes. It is published on GitHub by peterbamuhigire under the MIT 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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