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 document-in-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/document-in-case)<a href="https://agentmods.dev/skills/dandye/ai-runbooks/document-in-case"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/document-in-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/document-in-case"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/document-in-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 | $0.00034 | $0.00467 |
| Opus 5 | $0.00017 | $0.00234 |
| Sonnet 5 | $0.00007 | $0.00093 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
document-in-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 10d 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
Document in Case Skill
Add a standardized comment to a case to document findings, actions taken, or recommendations.
Inputs
CASE_ID- The SOAR case ID to add the comment toCOMMENT_TEXT- The full text of the comment to be added- (Optional)
ALERT_GROUP_IDENTIFIERS- Alert group identifiers if required
Workflow
Step 1: Post Comment
secops-soar.post_case_comment(
case_id=CASE_ID,
comment=COMMENT_TEXT,
alert_group_identifiers=ALERT_GROUP_IDENTIFIERS // if provided
)
Step 2: Verify Status
Check the API response to confirm the comment was posted successfully.
Outputs
| Output | Description |
|---|---|
COMMENT_POST_STATUS |
Success/failure status of the comment posting |
Comment Templates
Enrichment Summary:
IOC Enrichment for [IOC_VALUE] ([IOC_TYPE]):
- GTI Reputation: [score/classification]
- SIEM Activity: [first/last seen, alert count]
- IOC Match: [Yes/No]
- Assessment: [Low/Medium/High risk]
- Recommendation: [next steps]
Triage Decision:
Alert Triage Complete:
- Classification: [FP/BTP/TP/Suspicious]
- Key Findings: [summary]
- Rationale: [why this classification]
- Action Taken: [closed/escalated]
Investigation Update:
Investigation Update [timestamp]:
- Actions Completed: [list]
- Findings: [summary]
- Next Steps: [planned actions]
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.
- 10d ago First seen · 73 lines · 34 tokens per session scan A 99276d62f754
document-in-case is a skill published in the GitHub repository dandye/ai-runbooks (124 stars, last pushed 26d ago), licensed Apache-2.0. It adds 34 tokens to every session and 467 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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