# 13 AI Agent Slo Doc

> Use when defining AI agent SLOs for task success, safe action completion, intervention, budget, latency, abandonment, and recovery; use ai-hallucination-slo-doc for answer factuality and citation quality.

- Skill: `peterbamuhigire/13-ai-agent-slo-doc` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add peterbamuhigire/13-ai-agent-slo-doc`
- Raw SKILL.md: https://api.skillmd.com/api/skills/peterbamuhigire/13-ai-agent-slo-doc/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: peterbamuhigire (https://skillmd.com/u/peterbamuhigire)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/peterbamuhigire/13-ai-agent-slo-doc

---



# AI Agent SLO Doc Skill

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## Use When

- Produce or update service-level objective document from approved project evidence.
- Resolve decisions about SLIs, objectives, error budgets, burn alerts, exclusions, and response policy.
- Prepare a reviewable handoff for Service owners, SRE, and release teams.

## Do Not Use When

- The task is primarily owned by monitoring-setup; route there and use this skill only for its named output.
- Required project evidence or decision authority is unavailable and the requester expects a pass, release, certification, or production change.

## Required Inputs

| Artefact | Source/provider | Required? | Behaviour when absent |
|---|---|---|---|
| Project _context/, approved requirements, and relevant architecture | Project owner and upstream phase skills | Required | Stop at a gap register; do not invent scope, thresholds, integrations, or owners. |
| Existing artefact, implementation, configuration, and evidence named below | Repository, delivery team, or service owner | Required when updating or assessing | Mark inaccessible items `not assessed`; do not treat them as passed. |
| Target audience, environment, risk tolerance, and authority | Requester and accountable owner | Required | Produce a read-only outline with explicit assumptions; do not mutate project or production state. |
## Outputs

| Artefact | Consumer | Observable acceptance condition |
|---|---|---|
| Service-level Objective Document | Service owners, SRE, and release teams | Each SLO has a computable SLI, justified target, data source, exclusions, burn policy, and linked response. |
| Decision and gap register | Reviewer and downstream phase owner | Every assumption, rejected option, unresolved dependency, waiver, and owner is explicit. |
| Validation evidence | Release or governance reviewer | Checks identify command or method, date, result, evidence location, and all unassessed items. |

## Evidence Produced

| Evidence | Minimum content | Acceptance |
|---|---|---|
| Traceability record | Source artefact, decision, output section, owner | No mandatory decision is source-free. |
| Quality-gate result | Check, expected result, observed result, evidence path | Failures and unavailable checks cannot appear as passes. |
| Review record | Reviewer, date, disposition, open actions | The consumer can reproduce the acceptance decision. |

## Capability and Permission Boundaries

- Minimum capabilities: read and search the authorised project sources. Execution is optional and limited to non-destructive validation.
- Assessment and planning default to read-only. Create or edit the named project document only when the request explicitly authorises it. Production mutation, publishing, destructive action, spending, external communication, or certification claims require separate explicit authority.
- Treat secrets, tenant data, incident evidence, and financial records as least-privilege inputs; expose only the minimum evidence needed for review.

## Degraded Mode

If files, execution, network, rendering, environment access, fonts, or current evidence are unavailable, return the narrowest useful draft plus a gap register. Label affected checks `not assessed`, retain the intended acceptance oracle, and state who must supply or verify the missing evidence. Never convert an unavailable check into a pass.

## Decision Rules

| Choice | Action | Failure or risk avoided |
|---|---|---|
| Evidence is complete and authority is explicit | Choose objectives from user harm and measured baseline and produce the full artefact. | Unmeasurable reliability promises. |
| A required source or approval is missing | Stop the affected branch; record the gap, owner, and unblock condition. | Fabricated requirements or unauthorised action. |
| Evidence conflicts across sources | Preserve both claims, identify the controlling owner, and request a recorded decision. | Silent selection of a convenient but wrong source. |
| A check cannot run in the available environment | Keep its oracle and mark it `not assessed`; require later execution evidence. | False assurance from capability limits. |

## Workflow

1. Confirm the named deliverable, consumer, scope, environment, authority, and neighbouring-skill boundary.
2. Inventory required sources and validate provenance, freshness, internal consistency, and missing inputs. Stop the affected branch on a mandatory gap.
3. Extract traceable requirements, invariants, risks, and measurable acceptance criteria; record conflicts before choosing a design or procedure.
4. Apply the decision rules and the domain workflow below. For a failed branch, preserve evidence, choose the documented recovery path, or escalate to the named owner.
5. Draft the artefact, decision register, and evidence record together. Do not defer failure handling, rollback, security, tenancy, accessibility, or operational ownership.
6. Run available checks, review every result, repair failures, and hand off only when acceptance is observable. If recovery fails or authority is exceeded, stop and escalate without mutation.

## Quality Standards

- Ground every section in a named project source, decision, measured result, or accountable owner.
- Give each requirement or procedure a deterministic oracle that another reviewer can reproduce.
- Keep assumptions, exclusions, degraded checks, residual risks, and waivers visible at handoff.
- Preserve the domain invariants and more specific controls in the existing workflow below; this contract does not replace them.
- Run the repository anti-AI-slop gate: remove filler, verify named standards and dependencies, and retain purposeful domain detail.

## Anti-Patterns

- Copying a generic template without mapping it to project sources. Fix: attach each section to an approved requirement, configuration, risk, or owner.
- Choosing a threshold because it is common practice. Fix: derive it from a requirement, measured baseline, risk decision, or current verified source.
- Reporting an inaccessible or unexecuted check as passed. Fix: mark it `not assessed`, preserve the oracle, and name the verifier.
- Mixing the neighbouring monitoring-setup concern into this artefact without a boundary. Fix: cross-reference its output and keep ownership explicit.
- Omitting failure, rollback, empty-state, security, tenancy, or escalation behaviour. Fix: specify the trigger, safe action, verification, and owner for each applicable case.
- Mutating a repository, environment, tenant, ledger, or external system while drafting guidance. Fix: remain read-only until the exact mutation and authority are explicit.
- Claiming compliance, certification, readiness, or release from prose alone. Fix: require source-attributed evidence and a named acceptance decision.

## Worked Example

Given an approved project source and a conflicting implementation detail, record both with provenance, stop the affected branch, and obtain the accountable owner's decision. Then update the relevant contract, define a reproducible acceptance check, and retain its observed result. The artefact is accepted only when each SLO has a computable SLI, justified target, data source, exclusions, burn policy, and linked response.

## References

- [logic.prompt](logic.prompt) - load only when its template, logic, or detail is needed.
- [README.md](README.md) - load only when its template, logic, or detail is needed.
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## Overview

The agent-specific complement to `ai-hallucination-slo-doc` and the parent SaaS SLO doc. Treats agent task success, intervention rate, irreversible-action incidents, agent-task availability, and agent-cost-per-run as first-class SLIs.

## Core Instructions

### Step 1: Inventory SLIs per agent feature

Required SLIs:

- **Task success SLI** — % of agent runs marked successful by the production-sample replay through the judge-LLM (or by user-confirmed completion where available).
- **Step efficiency SLI** — mean step count of successful runs vs gold-trajectory step count.
- **Intervention SLI** — % of runs that required mid-run human intervention.
- **Irreversible-action-incident SLI** — count per million runs of irreversible actions later confirmed incorrect by the user.
- **Agent-task availability SLI** — % of starts that reach a terminal state within the run's max-wallclock budget (not aborted by infra failure).
- **Agent-cost-per-run SLI** — mean and P95 USD cost per run, against the per-tenant budget envelope.
- **Tool-error rate SLI** — % of tool calls that return non-retryable or safety errors.

### Step 2: Measurement procedure

For each SLI declare source + sampling:

- Task success: nightly production-sample replayed through the judge-LLM. Sample rate per feature.
- Intervention: emitted by the orchestrator on every run; aggregated per feature.
- Irreversible-action-incident: counted at user-flag time (user marks "this was wrong"); also at admin-review time.
- Availability: emitted by the orchestrator.
- Cost: emitted by the dispatcher (LLM + external API cost rolled up).

### Step 3: Per-feature SLO targets by tier

| Tier | Task success | Intervention | Irreversible incidents | Availability | Cost-per-run |
|------|---------------|---------------|--------------------------|---------------|----------------|
| Pro | >= 0.90 | <= 20% | 0 (zero budget) | >= 0.99 | within feature cap |
| Enterprise | >= 0.95 | <= 10% | 0 (zero budget) | >= 0.995 | within feature cap |

### Step 4: Error budgets

Standard formula: `error_budget = (1 - SLO) × runs_in_window`. Irreversible-action incidents: zero budget; any breach is SEV1 plus per-tenant kill-switch for the feature.

### Step 5: Multi-burn-rate alerts

| Alert | Burn rate | Window | Threshold |
|-------|-----------|--------|-----------|
| Fast burn (task success) | 14x | 1 h | 2% of monthly budget |
| Medium burn | 6x | 6 h | 5% |
| Slow burn | 1x | 3 d | 10% |
| Intervention surge | 3x baseline | 1 h | any feature |
| Irreversible incident | n/a | 0 | any |
| Cost overshoot | per-tenant 200% of envelope | 1 h | throttle then pause |

### Step 6: Freeze and pause rules

- Task-success error budget exhausted: freeze planner / catalogue changes; require executive approval for further model bumps.
- Intervention rate up > 50% in 7 d: roll back the last planner/prompt change; SEV2.
- Irreversible-action incident: per-tenant feature kill-switch; SEV1; postmortem; admin notification.
- Cost overshoot: per-tenant throttle then per-tenant pause; SEV2.

### Step 7: Customer-facing commitments

Per tier define what is contractually committed. Likely:

- Agent-task availability (numeric).
- Notification of any irreversible-action incident within 24 h.
- A user-facing "this action was performed by an agent" notification standard.
- The user's right to request human handling for any task class.

### Step 8: Write the doc

`AI_Agent_SLO_Doc.md` sections: 1) Agent SLI Inventory, 2) Measurement Procedure, 3) Per-feature SLO Targets, 4) Error Budgets, 5) Burn-Rate Alerts, 6) Freeze & Pause Rules, 7) Customer-Facing Commitments, 8) Review Cadence.

## Standards

- Google SRE applied to agents
- ISO/IEC 25010 (functional correctness)
- ISO/IEC 42001 Clause 9
- NIST AI RMF MEASURE

## Resources

- `logic.prompt`, `README.md`, `references/ai-agent-slo-template.md`.