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 dandye/ai-runbooks --skill correlate-iocgit clone --depth 1 https://github.com/dandye/ai-runbooksWrote 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/dandye/ai-runbooks/correlate-ioc)<a href="https://agentmods.dev/skills/dandye/ai-runbooks/correlate-ioc"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/correlate-ioc/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/dandye/ai-runbooks/correlate-ioc"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/correlate-ioc.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 | $0.00048 | $0.00659 |
| Opus 5 | $0.00024 | $0.00329 |
| Sonnet 5 | $0.00010 | $0.00132 |
| Haiku 4.5 | $0.00005 | $0.00066 |
Grade A, and why
correlate-ioc 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Correlate IOC Skill
Check for existing SIEM alerts and cases related to specific Indicators of Compromise.
Inputs
IOC_LIST- Single IOC or list of IOCs (e.g.,["198.51.100.10", "evil-domain.com"])- (Optional)
TIME_FRAME_HOURS- Lookback period for SIEM alerts (default: 168 = 7 days) - (Optional)
SOAR_CASE_FILTER- Additional filter for SOAR cases (e.g.,status="OPEN")
Workflow
Step 1: Correlate SIEM Alerts
Search for alerts containing any IOC in the list:
secops-mcp.get_security_alerts(
query=IOC_based_query,
hours_back=TIME_FRAME_HOURS
)
Store summary in RELATED_SIEM_ALERTS:
- Alert count
- Alert types/names
- Severity distribution
- Affected assets
Step 2: Correlate Cases
Search for cases containing any IOC:
secops-soar.list_cases(
filter=IOC_based_filter + SOAR_CASE_FILTER
)
Store summary in RELATED_SOAR_CASES:
- Case IDs and names
- Case status
- Case priority
Required Outputs
After completing this skill, you MUST report these outputs:
| Output | Description |
|---|---|
RELATED_SIEM_ALERTS |
Summary of SIEM alerts related to the IOC(s) |
RELATED_CASES |
Summary of cases related to the IOC(s) |
CORRELATION_STATUS |
Success/failure status of the correlation |
MALICIOUS_CONFIDENCE |
Derived confidence based on alert history: high, medium, low, or none |
Use Cases
- Before Investigation - Check if IOC is already under investigation
- During Enrichment - Understand internal activity for an IOC
- Threat Hunt - Find all alerts/cases related to campaign indicators
- Incident Response - Identify scope of compromise across cases
Correlation Summary Template
IOC Correlation Summary for [IOC_LIST]:
SIEM Alerts (last [TIME_FRAME_HOURS] hours):
- Total alerts: [count]
- Alert types: [list]
- Affected hosts: [list]
Related Cases:
- Open cases: [count] - [IDs]
- Closed cases: [count]
- Related investigations: [summary]
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.
- 11d ago First seen · 91 lines · 48 tokens per session scan A af66191e61db
correlate-ioc is a skill published in the GitHub repository dandye/ai-runbooks (124 stars, last pushed 27d ago), licensed Apache-2.0. It adds 48 tokens to every session and 659 once invoked, about $0.0002 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.
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