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/agentsecops/secopsagentkit/detection-sigmanpx skills add AgentSecOps/SecOpsAgentKit --skill detection-sigmagit clone --depth 1 https://github.com/AgentSecOps/SecOpsAgentKitWhat 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 | $0.00115 | $0.03699 |
| Opus 5 | $0.00057 | $0.01850 |
| Sonnet 5 | $0.00023 | $0.00740 |
| Haiku 4.5 | $0.00012 | $0.00370 |
Grade A, and why
detection-sigma 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 yesterday.
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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
13 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.
- assets/.gitkeep 221 B
- assets/compliance-rules/iso27001-logging.yml 3.1 KB
- assets/compliance-rules/nist-800-53-audit.yml 2.8 KB
- assets/compliance-rules/pci-dss-monitoring.yml 2.3 KB
- assets/rule-templates/credential-access.yml 1.8 KB
- assets/rule-templates/lateral-movement.yml 1.8 KB
- assets/rule-templates/persistence.yml 1.8 KB
- assets/rule-templates/privilege-escalation.yml 1.6 KB
- references/backend-support.md 8.3 KB
- references/compliance-mappings.md 7.3 KB
- references/field-modifiers.md 8.4 KB
- references/log-source-guide.md 5.9 KB
- references/mitre-attack-mapping.md 7.0 KB
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.
- yesterday First seen · 506 lines · 115 tokens per session scan A c8abcece9599
detection-sigma is a skill published in the GitHub repository AgentSecOps/SecOpsAgentKit (201 stars, last pushed 4mo ago), with no licence file. It adds 115 tokens to every session and 3,699 once invoked, about $0.0006 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.
Other skills, from other repositories
Threat Hunting & IOC Analysis
IOC extraction, threat intelligence correlation, MITRE ATT&CK mapping, hunt hypothesis generation, and detection rule creation.
analyzing-cobalt-strike-beacon-configuration
Extract and analyze Cobalt Strike beacon configuration from PE files and memory dumps to identify C2 infrastructure, malleable profiles, and operator tradecraft.
analyzing-azure-activity-logs-for-threats
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or…
analyzing-cobaltstrike-malleable-c2-profiles
Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured…
analyzing-persistence-mechanisms-in-linux
Scan Linux systems for persistence mechanisms including crontab/systemd entries, LDPRELOAD injection, shell profile modifications (.bashrc, .profile), and SSH authorizedkeys backdoors, then correlate findings with auditd logs into an installation timeline. Use during incident response or threat hunting to detect or…
Log Analysis & SIEM Integration
Security log parsing, anomaly detection, SIEM query building, Sigma rule creation, and correlation rule development across Splunk, Elastic, QRadar, and Microsoft Sentinel.