Detection Sigma
AgentSecOps/SecOpsAgentKit
Generic detection rule creation and management using Sigma, the universal SIEM rule format.
Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines…
Install Implementing Siem Use Case Tuning
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .claude/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .claude/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .agents/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .agents/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .cursor/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .cursor/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/implementing-siem-use-case-tuning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .gemini/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .gemini/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .github/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .github/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-siem-use-case-tuning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/implementing-siem-use-case-tuning .opencode/skills/implementing-siem-use-case-tuning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "implementing-siem-use-case-tuning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-siem-use-case-tuning into .opencode/skills/implementing-siem-use-case-tuning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-siem-use-case-tuning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
implementing-siem-use-case-tuning- GitHub stars
- 34k
- Token cost
- ~657 tokens
- SKILL.md length
- 230 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines…
- Works in 7 steps: Export current alert volumes per… → Calculate false positive rate per rule… → Identify top noise-generating rules by… → …
- A SOC is drowning in noisy alerts and needs to tune correlation searches
- SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
- Runs Python scripts from its folder
What it does
Implementing Siem Use Case Tuning is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines, and measuring precision/recall efficacy metrics. Use when a SOC is drowning in noisy alerts and needs to tune correlation searches or detection rules, or when measuring and reporting alert-to-incident conversion rates.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Security operations. It works with Splunk. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- A SOC is drowning in noisy alerts and needs to tune correlation searches
- Detection rules
- Measuring and reporting alert-to-incident conversion rates
Example prompts
- “/implementing-siem-use-case-tuning”
Requirements
- Python 3
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Export current alert volumes per detection rule from SIEM
- Calculate false positive rate per rule using analyst disposition data
- Identify top noise-generating rules by volume and FP rate
- Build environmental baselines for thresholds (e.g., login counts, process spawns)
- Create whitelist entries for known-good entities (service accounts, scanners)
- Adjust rule thresholds using statistical analysis (mean + N standard deviations)
- Measure tuning impact via before/after precision and alert-to-incident ratio
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Implementing Siem Use Case Tuning loads about 657 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 112 tokens; SKILL.md has 230 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 230 words, ~657 tokens.
Download SKILL.mdSave it as
.claude/skills/implementing-siem-use-case-tuning/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- implementing-siem-use-case-tuning
- description
- Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines, and measuring precision/recall efficacy metrics. Use when a SOC is drowning in noisy alerts and needs to tune correlation searches or detection rules, or when measuring and reporting alert-to-incident conversion rates.
- domain
- cybersecurity
- subdomain
- security-operations
- tags
- siem, detection-engineering, false-positive-reduction, splunk, elastic, alert-tuning, soc
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
- mitre_attack
- T1078, T1190, T1059, T1685.002, T1685.005
Implementing SIEM Use Case Tuning
Overview
SIEM use case tuning reduces alert fatigue by systematically analyzing detection rules for false positive rates, adjusting thresholds based on environmental baselines, creating context-aware whitelists, and measuring detection efficacy through precision/recall metrics. This skill covers tuning workflows for Splunk correlation searches and Elastic detection rules, including statistical baselining, exclusion list management, and alert-to-incident conversion tracking.
When to Use
- When deploying or configuring implementing siem use case tuning capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
Prerequisites
- Splunk Enterprise/Cloud with ES or Elastic SIEM with detection rules enabled
- Historical alert data (minimum 30 days) for baseline analysis
- Python 3.8+ with
requestslibrary - SIEM admin credentials or API tokens
Steps
- Export current alert volumes per detection rule from SIEM
- Calculate false positive rate per rule using analyst disposition data
- Identify top noise-generating rules by volume and FP rate
- Build environmental baselines for thresholds (e.g., login counts, process spawns)
- Create whitelist entries for known-good entities (service accounts, scanners)
- Adjust rule thresholds using statistical analysis (mean + N standard deviations)
- Measure tuning impact via before/after precision and alert-to-incident ratio
Expected Output
JSON report with per-rule tuning recommendations including current FP rate, suggested threshold adjustments, whitelist entries, and projected alert reduction percentages.
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in skills/implementing-siem-use-case-tuning of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Implementing Siem Use Case Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Implementing Siem Use Case Tuning this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~657 | Automated safety check: Pass | Apache-2.0 | |
| Detection SigmaAgentSecOps/SecOpsAgentKit | 220 | 1 repos | ~4k | Automated safety check: Pass | Custom licence | |
| Siem Detectionbriiirussell/cybersecurity-skills | 413 | — | ~2.6k | Automated safety check: Notes | MIT | |
| Doca ArgusNVIDIA/skills | 3.5k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Hunting Threatstrilwu/secskills | 157 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Siem Loggingancoleman/ai-design-components | 526 | — | ~3.4k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Implementing Siem Use Case Tuning
What does Implementing Siem Use Case Tuning do?
Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines…. Implementing Siem Use Case Tuning is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Tune SIEM detection rules in Splunk and Elastic to reduce false positives by analyzing alert volumes, creating context-aware exclusion lists, adjusting thresholds against environmental baselines, and measuring precision/recall efficacy metrics.
When should I use Implementing Siem Use Case Tuning?
Implementing Siem Use Case Tuning fits situations like: A SOC is drowning in noisy alerts and needs to tune correlation searches; detection rules; measuring and reporting alert-to-incident conversion rates.
How do I install Implementing Siem Use Case Tuning in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a claude-code`. Or copy the skill folder (skills/implementing-siem-use-case-tuning in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-siem-use-case-tuning in your project. Claude Code loads it when a task matches its description.
How do I install Implementing Siem Use Case Tuning in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a codex`. Or copy the skill folder (skills/implementing-siem-use-case-tuning in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-siem-use-case-tuning in your project. Codex loads it when a task matches its description.
Can I use Implementing Siem Use Case Tuning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-siem-use-case-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-siem-use-case-tuning, .gemini/skills/implementing-siem-use-case-tuning, .github/skills/implementing-siem-use-case-tuning and .opencode/skills/implementing-siem-use-case-tuning in your project.
What does Implementing Siem Use Case Tuning need to run?
Going by SKILL.md and its folder, Implementing Siem Use Case Tuning needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Implementing Siem Use Case Tuning access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Implementing Siem Use Case Tuning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Implementing Siem Use Case Tuning use?
Implementing Siem Use Case Tuning is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Implementing Siem Use Case Tuning use?
About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 543 tokens, read only when the agent opens those files.
What are the alternatives to Implementing Siem Use Case Tuning?
Skills that share tags, products or a category with Implementing Siem Use Case Tuning: Detection Sigma (AgentSecOps/SecOpsAgentKit, 220 stars), Siem Detection (briiirussell/cybersecurity-skills, 413 stars), Doca Argus (NVIDIA/skills, 3.5k stars) and Hunting Threats (trilwu/secskills, 157 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Implementing Siem Use Case Tuning?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.