# 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.

- Skill: `peterbamuhigire/ai-agent-tooling-and-hitl` (Agent Skill, multi-file: 10 files)
- Install (CLI): `npx skillmds@latest add peterbamuhigire/ai-agent-tooling-and-hitl`
- Raw SKILL.md: https://api.skillmd.com/api/skills/peterbamuhigire/ai-agent-tooling-and-hitl/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: peterbamuhigire (https://skillmd.com/u/peterbamuhigire)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/peterbamuhigire/ai-agent-tooling-and-hitl

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# AI Agent Tooling And HITL
Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

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## 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](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](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

- [references/routing.md](references/routing.md) maps retired child skill slugs to their consolidated reference folders.

## Consolidated Child References

- Load [references/routing.md](references/routing.md) to map retired AI child skill slugs to their reference modules.
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## Inputs

| Artefact | Required? | Purpose |
|---|---|---|
| Tool schemas and side-effect classification | yes | Define callable actions |
| Identity, tenant, approval, and budget policy | yes | Enforce authority |
| Reversal and audit requirements | yes | Bound 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 class | Gate | Failure avoided |
|---|---|---|
| Read-only, low sensitivity | Policy-scoped automatic call | Approval fatigue |
| Reversible mutation | Confirm policy and log result | Silent unwanted change |
| Irreversible, financial, external, or privileged | Just-in-time human approval | Unauthorised 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.