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 triage-malwaregit 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/triage-malware)<a href="https://agentmods.dev/skills/dandye/ai-runbooks/triage-malware"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/triage-malware/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/triage-malware"><img src="https://agentmods.dev/badge/skills/dandye/ai-runbooks/triage-malware.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 | $0.01193 |
| Opus 5 | $0.00024 | $0.00596 |
| Sonnet 5 | $0.00010 | $0.00239 |
| Haiku 4.5 | $0.00005 | $0.00119 |
Grade A, and why
triage-malware 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Malware Triage Skill
Perform initial analysis and context gathering for a suspected malicious file hash identified during an investigation or alert.
Inputs
FILE_HASH- MD5, SHA1, or SHA256 hash of the suspected fileCASE_ID- SOAR case ID for documentationALERT_GROUP_IDENTIFIERS- Alert group identifiers from the case- (Optional)
TIME_FRAME_HOURS- Lookback period (default: 72)
Workflow
Step 1: Get Case Context
secops-soar.get_case_full_details(case_id=CASE_ID)
Step 2: GTI File Report
gti-mcp.get_file_report(hash=FILE_HASH)
Record:
- Detection ratio (e.g., 45/70 engines)
- Malware family classification
- First/last seen dates
- Associated threat actors or campaigns
Step 3: GTI Behavior Summary
gti-mcp.get_file_behavior_summary(hash=FILE_HASH)
Extract behavioral indicators:
- Network: Contacted IPs/domains →
NETWORK_IOCs_GTI - File system: Dropped files, modified files
- Registry: Modified keys
- MITRE TTPs: Observed techniques from sandbox
Step 4: SIEM Execution Check
Search for file execution events:
secops-mcp.search_security_events(
text='target.file.sha256 = "FILE_HASH" OR target.file.md5 = "FILE_HASH"',
hours_back=TIME_FRAME_HOURS
)
Look for: PROCESS_LAUNCH, FILE_CREATION, FILE_MODIFICATION
Identify:
AFFECTED_HOSTS- Machines where file was seenAFFECTED_USERS- Users who executed/accessed the file
Step 5: SIEM Network Activity
Search for network connections from processes with this hash:
secops-mcp.search_security_events(
text='principal.process.file.sha256 = "FILE_HASH"',
hours_back=TIME_FRAME_HOURS
)
Extract: NETWORK_IOCs_SIEM (contacted IPs/domains)
Step 6: Enrich Network IOCs
Combine NETWORK_IOCs_GTI + NETWORK_IOCs_SIEM → ALL_NETWORK_IOCs
For each network IOC, use /enrich-ioc:
- Check GTI reputation
- Check SIEM presence
- Check IOC match status
Step 7: Check Related Cases
Use /find-relevant-case with:
SEARCH_TERMS = AFFECTED_HOSTS + AFFECTED_USERS + ALL_NETWORK_IOCs
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 · 165 lines · 48 tokens per session scan A a8e517407a2c
triage-malware 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 1,193 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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