Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add harness/harness-skills --skill manage-slosgit clone --depth 1 https://github.com/harness/harness-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/harness/harness-skills/manage-slos)<a href="https://agentmods.dev/skills/harness/harness-skills/manage-slos"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-slos/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/harness/harness-skills/manage-slos"><img src="https://agentmods.dev/badge/skills/harness/harness-skills/manage-slos.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00133 | $0.01433 |
| Opus 5 | $0.00067 | $0.00717 |
| Sonnet 5 | $0.00027 | $0.00287 |
| Haiku 4.5 | $0.00013 | $0.00143 |
Grade A, and why
manage-slos scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- manage-slos — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage SLOs / SRM
Limitation: The MCP server does not currently expose
slo,slo_alert, ormonitored_serviceresource types. SLO definitions, burn-rate alerts, and monitored-service configuration must be created and edited via the Harness UI under Service Reliability Management. This skill covers the parts of the SRM workflow that are supported via MCP: deployment correlation, on-call handover reports, and operational runbooks.
What this skill can do via MCP
| Workflow | Supported today |
|---|---|
| Define an SLO or SLI | ❌ Use the Harness UI |
| Configure error-budget / burn-rate alerts | ❌ Use the Harness UI |
| Configure a monitored service | ❌ Use the Harness UI |
| Correlate deployments with an incident | ✅ via execution |
| Summarize recent releases for on-call handover | ✅ via execution, service, environment |
| Draft an operational runbook | ✅ (LLM-authored; pulls context from MCP) |
Instructions
Step 1: Establish Scope
Call MCP tool: harness_list
Parameters:
resource_type: "project"
org_id: "<organization>"
Step 2: Incident Triage — Correlate Deployments
When the user reports an active incident:
- Identify the affected service and environment.
- Pull recent executions that deployed the service.
Call MCP tool: harness_list
Parameters:
resource_type: "execution"
org_id: "<organization>"
project_id: "<project>"
# filter by service or environment as needed
- Correlate incident start time with deployment timestamps.
- Pull the failing execution's details:
Call MCP tool: harness_get
Parameters:
resource_type: "execution"
resource_id: "<execution_id>"
org_id: "<organization>"
project_id: "<project>"
- Guide the user through structured RCA: blast radius, suspected root cause, mitigation steps, rollback candidate.
Step 3: On-Call Handover Report
Gather from the user: outgoing/incoming engineers, shift window, owned services.
Pull recent executions and services:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 159 lines · 133 tokens per session scan A 1502bbc43770
manage-slos is a skill published in the GitHub repository harness/harness-skills (105 stars, last pushed 2d ago), licensed Apache-2.0. It adds 133 tokens to every session and 1,433 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
deploy-docker-compose
Run the Omnigent server as a Docker compose stack (server + Postgres) on any Docker host — your laptop, a VPS, EC2 by hand, or as the base layer of any container-platform deploy. Invoke when the user wants to build the image, bring up the compose stack, debug the stack on a host they already have, or extend the stack…
haiku
When writing a haiku for this bot, follow these conventions.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
fastapi-router-py
Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models. Use when building REST API endpoints, creating new routes, implementing CRUD operations, or adding authenticated endpoints in FastAPI applications.
dogfood
Systematically explore and test a mobile app on iOS/Android with agent-device to find bugs, UX issues, and other problems. Use when asked to dogfood, QA, exploratory test, find issues, bug hunt, or test this app on mobile.