detection-engineering SKILL.md skillA
detection-engineering from miosa-osa/osa is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add miosa-osa/osa/detection-engineering@v1.0.200Pins v1.0.200 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- miosa-osa/osa
- Path
priv/skills/detection-engineering/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.200, committed Sep 14, 2026
- Size
- 2,229 bytes
- Repository stars
- 78
- License
- Apache-2.0
Build and validate cyber defense detection rules with malicious and benign fixtures, telemetry prerequisites and false positive controls. Use for Sigma rules, detection engineering, missing alerts or measuring detection coverage.
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
# Detection Engineering ## Workflow 1. Define the behavior, required log source, field mapping, and alert threshold before writing a rule. 2. Read `references/workflow.md` for an original Sigma-format example and controls. Check optional `sigma` CLI availability and installed backend; conversion is not execution. 3. Replay positive, benign, and missing-field fixtures against the actual chosen backend. Record observed alerts, not just query syntax validity. 4. Use `cyber_defense` to exercise embedded lab detection where relevant; never equate its alerts with a real SIEM alert. 5. Tune exclusions narrowly, rerun all fixtures, and retain rule version plus evidence. Roll back the rule if detection loss or false positives exceed the agreed threshold. ## Worked example and prerequisites Read [references/workflow.md](references/workflow.md) before execution. Use only registered OSA tools named in the frontmatter; command examples run through `shell_execute`. Check `command -v` for each external executable on the actual target. Optional packages, external collectors and vendor accounts are not bundled or presumed installed. ## Evidence and completion …
Read the whole file at its exact version.
How to install
mdr add miosa-osa/osa/detection-engineering@sha256:076a222edd11d8feThe line at the top of this page pins the label v1.0.200, 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_spzpjwnhr4wk32y4)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 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 (2229 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
miosa-osa/osa · 78 stars · license Apache-2.0 · pushed 2026-10-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_spzpjwnhr4wk32y4 GET https://markdownregistry.com/api/v1/resolve?ref=miosa-osa/osa/detection-engineering GET https://markdownregistry.com/api/v1/blob/076a222edd11d8fe0cdb9166a11ff463d98d9d5cbce70f398ac5804f166742c5
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.