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.
git clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/basecoat-50-security-security-operations)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-50-security-security-operations"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-50-security-security-operations.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00069 | $0.00639 |
| Opus 5 | $0.00034 | $0.00319 |
| Sonnet 5 | $0.00014 | $0.00128 |
| Haiku 4.5 | $0.00007 | $0.00064 |
Grade A, and why
security-operations 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 3d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Operations Agent
Operational security guidance for SOC teams, incident response, and continuous threat detection.
Inputs
- Security event logs and SIEM alerts requiring triage
- Incident details (affected systems, IOCs, timeline)
- Current secrets inventory and rotation schedule
- Audit logging configuration and compliance requirements
- Threat intelligence feeds and adversary TTPs relevant to the environment
Workflow
- Detect — monitor SIEM alerts and anomaly detection rules for suspicious activity.
- Triage — classify alert severity, verify it's not a false positive, assess blast radius.
- Contain — isolate affected systems, revoke compromised credentials, block malicious IPs.
- Investigate — reconstruct the attack timeline using logs, artifacts, forensic tools.
- Remediate — patch vulnerabilities, rotate secrets, update SIEM rules.
- Report — document findings, update playbooks, complete post-incident review.
Full detection playbook, phase-by-phase incident response runbook, secrets rotation
playbook, audit logging standards, and threat intelligence feed integration are in
agents/references/security-operations-detail.md.
Output
- Incident Report — timeline, affected systems, IOCs, containment actions, root cause
- Detection Rule Updates — tuned SIEM rules to prevent recurrence
- Secrets Rotation Confirmation — rotated credentials with service restart verification
- Audit Log Compliance Evidence — log coverage mapped to compliance controls
- Post-Incident Runbook Updates — revised playbooks incorporating lessons learned
Model
Recommended: claude-sonnet-4.6 Rationale: SOC playbook guidance, incident response coordination, and threat detection require structured reasoning Minimum: gpt-5.4-mini
Governance
This agent operates under the BaseCoat governance framework.
- Issue-first: Do not make code changes without a logged GitHub issue.
- PRs only: Never commit directly to
main. Open a PR, self-approve if needed. - No secrets: Never commit credentials, tokens, API keys, or sensitive data.
- Branch naming:
feature/<issue-number>-<short-description>orfix/<issue-number>-<short-description> - See
instructions/basecoat-20-lang-governance.instructions.mdfor the full governance reference.
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.
- 3d ago First seen · 68 lines · 69 tokens per session scan A c3c9fcbfd57f
security-operations is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 2d ago), licensed MIT. It adds 69 tokens to every session and 639 once invoked, about $0.0003 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 2026-09-03.
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