ai-operations SKILL.md skillA
ai-operations from harness/harness-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add harness/harness-skills/ai-operations@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- harness/harness-skills
- Path
skills/observability-governance/ai-operations/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 14, 2026
- Size
- 5,822 bytes
- Repository stars
- 122
- License
- Apache-2.0
Configure Harness AI-powered operations (AIDA) via MCP. Set up predictive failure analysis with ML models for memory leaks, disk exhaustion, connection pool saturation, and latency degradation. Configure intelligent alert correlation and noise reduction to reduce alert volume. Use when asked to set up predictive failure analysis, configure AI-powered alerting, reduce alert noise, or enable ML-based anomaly detection. Do NOT use for pipeline debugging (use debug-pipeline instead) or SLO…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# AI Operations Configure AI-powered predictive failure analysis and intelligent alert correlation using Harness AIDA. ## Instructions ### Step 1: Establish Scope Confirm the user's org, project, service, and observability stack. ``` Call MCP tool: harness_list Parameters: resource_type: "project" org_id: "<organization>" ``` ### Step 2: Identify the AI Operations Task Determine which workflow the user needs: 1. **Predictive Failure Analysis** -- ML-based detection of impending failures before SLO breach 2. **Alert Correlation and Noise Reduction** -- Group related alerts and suppress duplicates ### Step 3: Configure Predictive Failure Analysis Gather from the user: - Service name and data sources (Datadog, Prometheus, CloudWatch) - Prediction horizon (30 minutes, 1 hour, 4 hours, 24 hours ahead) - Training data period (30 days, 90 days, 6 months) - Model type preference (anomaly detection, time series forecasting, ensemble) Configure failure prediction scenarios: 1. **Memory leak detection** -- Flag services where memory grows above threshold per window 2. **Disk exhaustion** -- Predict time-to-full and alert N hours in advance …
Read the whole file at its exact version.
How to install
mdr add harness/harness-skills/ai-operations@sha256:de39030c746c2002The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_5h2ja6p5emoj7htb)
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Versions
The registry has recorded 1 version of this file, committed on Oct 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5822 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
harness/harness-skills · 122 stars · license Apache-2.0 · pushed 2026-10-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5h2ja6p5emoj7htb GET https://markdownregistry.com/api/v1/resolve?ref=harness/harness-skills/ai-operations GET https://markdownregistry.com/api/v1/blob/de39030c746c2002dafe8d533aafd2790ee147e803bb64d2d01562b3964e59dc
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.