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 agentmods add skills/elastic/cursor-plugins/detection-rule-managementnpx skills add elastic/cursor-plugins --skill detection-rule-managementgit clone --depth 1 https://github.com/elastic/cursor-pluginsWhat 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 | $0.00043 | $0.03504 |
| Opus 5 | $0.00022 | $0.01752 |
| Sonnet 5 | $0.00009 | $0.00701 |
| Haiku 4.5 | $0.00004 | $0.00350 |
Grade A, and why
security-detection-rule-management 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 3d 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.
This is a copy
100% identical to security-detection-rule-management — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Detection Rule Management
Create new detection rules for emerging threats and coverage gaps, and tune existing rules to reduce false positives.
All operations use the Kibana Detection Engine API via rule-manager.js.
Execution rules
- Start executing tools immediately — do not read SKILL.md, browse the workspace, or list files first.
- Report tool output faithfully. Copy rule IDs, names, alert counts, exception IDs, and error messages exactly as returned by the API. Do not abbreviate rule UUIDs, invent rule names, or round alert counts.
- When a tool returns an error (rule not found, API failure), report the exact error — do not guess at alternatives.
Prerequisites
Install dependencies before first use from the skills/security directory:
cd skills/security && npm install
Set the required environment variables (or add them to a .env file in the workspace root):
export ELASTICSEARCH_URL="https://your-cluster.es.cloud.example.com:443"
export ELASTICSEARCH_API_KEY="your-api-key"
export KIBANA_URL="https://your-cluster.kb.cloud.example.com:443"
export KIBANA_API_KEY="your-kibana-api-key"
Common multi-step workflows
| Task | Tools to call (in order) |
|---|---|
| Tune noisy SIEM rule | rule_manager find/noisy-rules → run_query (investigate FPs) → rule_manager patch or add-exception |
| Add endpoint behavior exception | fetch_endpoint_rule (get rule definition from GitHub) → add_endpoint_exception (scoped to rule.id) |
| Create new detection rule | run_query (test query against data) → rule_manager create |
| Investigate rule alert volume | rule_manager get → run_query (query alerts index) |
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/detection-api-reference.md 7.9 KB
- references/endpoint-behavior-tuning-workflow.md 6.3 KB
- references/endpoint-exceptions-guide.md 3.8 KB
- references/endpoint-rule-exclusion-best-practices.md 6.3 KB
- scripts/add-endpoint-exception.js 5.5 KB runs code
- scripts/check-exclusion-best-practices.js 2.1 KB runs code
- scripts/es-client.js 1.8 KB runs code
- scripts/fetch-endpoint-rule-from-github.js 3.8 KB runs code
- scripts/kibana-client.js 6.7 KB runs code
- scripts/rule-manager.js 21 KB runs code
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.
- 3d ago First seen · 287 lines · 43 tokens per session scan A 1091af20e817
security-detection-rule-management is a skill published in the GitHub repository elastic/cursor-plugins (31 stars, last pushed 6d ago), licensed Apache-2.0. It adds 43 tokens to every session and 3,504 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to security-detection-rule-management, differing in 0 lines, and is treated as a copy.
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