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 find-relevant-casegit 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/find-relevant-case)<a href="https://agentmods.dev/skills/dandye/ai-runbooks/find-relevant-case"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/find-relevant-case/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/find-relevant-case"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/find-relevant-case.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 | $0.00037 | $0.00562 |
| Opus 5 | $0.00018 | $0.00281 |
| Sonnet 5 | $0.00007 | $0.00112 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
find-relevant-case 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.
What it actually says
Find Relevant Case Skill
Identify existing cases that may be related to the current investigation based on IOCs, hostnames, usernames, or other entities.
Inputs
SEARCH_TERMS- List of values to search for (e.g.,["198.51.100.10", "mikeross-pc", "jsmith"])- (Optional)
CASE_STATUS_FILTER- Filter by status: "Opened", "Closed" (default: "Opened") - (Optional)
TIME_FRAME_HOURS- Lookback period for case creation/update - (Optional)
MAX_RESULTS- Maximum cases to return
Workflow
Step 1: Construct Search Filter
Build a filter for list_cases based on search terms and filters.
Note: The list_cases tool may have limited ability to search within case entities. If direct entity search isn't supported, use broader filters and refine results.
Step 2: Execute Search
secops-soar.list_cases(
filter=constructed_filter,
limit=MAX_RESULTS
)
Step 3: Process Results
Extract case IDs and basic details (DisplayName, Priority) from results.
Step 4: (Optional) Refine Results
If too many results, use get_case_full_details on a subset to verify entity presence:
secops-soar.get_case_full_details(case_id=candidate_case_id)
Outputs
| Output | Description |
|---|---|
RELEVANT_CASE_IDS |
List of case IDs that match the search |
RELEVANT_CASE_SUMMARIES |
Brief summaries (ID, name, priority) |
FIND_CASE_STATUS |
Success/failure status of the search |
Limitations & Workarounds
The list_cases tool may not support direct entity searching. Alternatives:
- Broader filters - Use time range, alert type, then manually review
- SIEM correlation - Search SIEM for entity, check if events belong to a case
- Multiple searches - Search each term separately, combine results
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 · 68 lines · 37 tokens per session scan A 04b958a89347
find-relevant-case is a skill published in the GitHub repository dandye/ai-runbooks (124 stars, last pushed 27d ago), licensed Apache-2.0. It adds 37 tokens to every session and 562 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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