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 oghie/skillsets --skill cyber-security-operationsgit clone --depth 1 https://github.com/oghie/skillsetsWrote 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/oghie/skillsets/cyber-security-operations)<a href="https://agentmods.dev/skills/oghie/skillsets/cyber-security-operations"><img src="https://agentmods.dev/badge/skills/oghie/skillsets/cyber-security-operations/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/oghie/skillsets/cyber-security-operations"><img src="https://agentmods.dev/badge/skills/oghie/skillsets/cyber-security-operations.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00126 | $0.01097 |
| Opus 5 | $0.00063 | $0.00549 |
| Sonnet 5 | $0.00025 | $0.00219 |
| Haiku 4.5 | $0.00013 | $0.00110 |
Grade A, and why
cyber-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 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cyber Security Operations
Authorized Use
This skill covers dual-use offensive and defensive techniques. Offensive playbooks (red-team, penetration testing, credential access, C2, social-engineering simulation) are for engagements you own or have explicit written authorization to test. Before any offensive technique, confirm scope, a signed rules-of-engagement, and authority (tasks/engagement-intake.md), and document every action for the engagement record. Defensive, detection, forensic, and compliance playbooks assume you operate on systems you are responsible for.
Core Rule
Route, do not improvise. This skill does not contain techniques inline - it dispatches to one self-contained playbook under playbooks/. Every recommendation names the objective, the strategy basis, the technique's ATT&CK/D3FEND/NIST mapping, and the verification or detection path.
First Pass
- Restate the objective: what outcome, on which systems, by when.
- Classify the task into one category:
detection-hunting- detection engineering, threat hunting, SIEM analytics.soc-incident-response- SOC operations, triage, incident response, containment.dfir-forensics- disk/memory/network forensics, evidence acquisition, custody.malware-analysis- static/dynamic analysis, reverse engineering, deobfuscation.threat-intelligence- CTI, TTP mapping, actor tracking, IOC work.cloud-container-security- cloud posture, Kubernetes/container, cloud IR.network-wireless-security- network defense, traffic analysis, wireless.application-api-security- web/app/API testing and hardening, OWASP.identity-access-zerotrust- IAM, AD/Entra, zero-trust, credential protection.ot-ics-security- OT/ICS/SCADA, historian, industrial protocols.endpoint-mobile-security- endpoint hardening, EDR, mobile.vuln-supplychain-devsecops- vulnerability management, supply chain, CI/CD security.offensive-security- red-team, penetration testing, C2, social-engineering simulation.crypto-ai-emerging- cryptography, AI security, blockchain, deception.compliance-governance- CMMC/NIST/ISO, risk, privacy, audit.
- For any
offensive-securitytask, confirm first (tasks/engagement-intake.md). No scope, no action. - Route to one playbook: open references/INDEX.md, then references/index/.md, and match a single playbook by name, tags, or ATT&CK technique ID. Do not read every playbook - locate one.
- Read playbooks///PLAYBOOK.md and its local references/, scripts/, and assets/. Follow it exactly.
- Execute with the loop: observe -> orient -> decide -> act -> verify. Each finding updates the plan. If the objective needs another technique, return to step 2.
- Close with the right artifact (templates/): a forensic evidence report for DFIR, an engagement record for offensive work, a detection or remediation note otherwise.
What ships with it
60 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.
- agent.md 2.0 KB
- agents/openai.yaml 647 B
- NOTICE 553 B
- playbooks/application-api-security/bypassing-authentication-with-forced-browsing/LICENSE 11 KB
- playbooks/application-api-security/bypassing-authentication-with-forced-browsing/PLAYBOOK.md 11 KB
- playbooks/application-api-security/bypassing-authentication-with-forced-browsing/references/api-reference.md 2.2 KB
- playbooks/application-api-security/bypassing-authentication-with-forced-browsing/scripts/agent.py 6.7 KB runs code
- playbooks/application-api-security/detecting-api-enumeration-attacks/LICENSE 11 KB
- playbooks/application-api-security/detecting-api-enumeration-attacks/PLAYBOOK.md 14 KB
- playbooks/application-api-security/detecting-api-enumeration-attacks/references/api-reference.md 1.9 KB
- playbooks/application-api-security/detecting-api-enumeration-attacks/scripts/agent.py 6.6 KB runs code
- playbooks/application-api-security/detecting-broken-object-property-level-authorization/LICENSE 11 KB
- playbooks/application-api-security/detecting-broken-object-property-level-authorization/PLAYBOOK.md 15 KB
- playbooks/application-api-security/detecting-broken-object-property-level-authorization/references/api-reference.md 2.1 KB
- playbooks/application-api-security/detecting-broken-object-property-level-authorization/scripts/agent.py 6.4 KB runs code
- playbooks/application-api-security/detecting-shadow-api-endpoints/LICENSE 11 KB
- playbooks/application-api-security/detecting-shadow-api-endpoints/PLAYBOOK.md 14 KB
- playbooks/application-api-security/detecting-shadow-api-endpoints/references/api-reference.md 2.2 KB
- playbooks/application-api-security/detecting-shadow-api-endpoints/scripts/agent.py 5.6 KB runs code
- playbooks/application-api-security/exploiting-api-injection-vulnerabilities/LICENSE 11 KB
- playbooks/application-api-security/exploiting-api-injection-vulnerabilities/PLAYBOOK.md 20 KB
- playbooks/application-api-security/exploiting-api-injection-vulnerabilities/references/api-reference.md 2.1 KB
- playbooks/application-api-security/exploiting-api-injection-vulnerabilities/scripts/agent.py 5.0 KB runs code
- playbooks/application-api-security/exploiting-broken-function-level-authorization/LICENSE 11 KB
- playbooks/application-api-security/exploiting-broken-function-level-authorization/PLAYBOOK.md 16 KB
- playbooks/application-api-security/exploiting-broken-function-level-authorization/references/api-reference.md 2.3 KB
- playbooks/application-api-security/exploiting-broken-function-level-authorization/scripts/agent.py 4.5 KB runs code
- playbooks/application-api-security/exploiting-broken-link-hijacking/LICENSE 11 KB
- playbooks/application-api-security/exploiting-broken-link-hijacking/PLAYBOOK.md 8.9 KB
- playbooks/application-api-security/exploiting-broken-link-hijacking/references/api-reference.md 2.2 KB
- playbooks/application-api-security/exploiting-broken-link-hijacking/scripts/agent.py 4.8 KB runs code
- playbooks/application-api-security/exploiting-excessive-data-exposure-in-api/LICENSE 11 KB
- playbooks/application-api-security/exploiting-excessive-data-exposure-in-api/PLAYBOOK.md 16 KB
- playbooks/application-api-security/exploiting-excessive-data-exposure-in-api/references/api-reference.md 2.2 KB
- playbooks/application-api-security/exploiting-excessive-data-exposure-in-api/scripts/agent.py 5.6 KB runs code
- playbooks/application-api-security/exploiting-http-request-smuggling/LICENSE 11 KB
- playbooks/application-api-security/exploiting-http-request-smuggling/PLAYBOOK.md 11 KB
- playbooks/application-api-security/exploiting-http-request-smuggling/references/api-reference.md 1.9 KB
- playbooks/application-api-security/exploiting-http-request-smuggling/scripts/agent.py 6.3 KB runs code
- playbooks/application-api-security/exploiting-idor-vulnerabilities/LICENSE 11 KB
- playbooks/application-api-security/exploiting-idor-vulnerabilities/PLAYBOOK.md 11 KB
- playbooks/application-api-security/exploiting-idor-vulnerabilities/references/api-reference.md 1.8 KB
- playbooks/application-api-security/exploiting-idor-vulnerabilities/scripts/agent.py 7.2 KB runs code
- playbooks/application-api-security/exploiting-insecure-deserialization/LICENSE 11 KB
- playbooks/application-api-security/exploiting-insecure-deserialization/PLAYBOOK.md 11 KB
- playbooks/application-api-security/exploiting-insecure-deserialization/references/api-reference.md 2.0 KB
- playbooks/application-api-security/exploiting-insecure-deserialization/scripts/agent.py 6.2 KB runs code
- playbooks/application-api-security/exploiting-jwt-algorithm-confusion-attack/LICENSE 11 KB
- playbooks/application-api-security/exploiting-jwt-algorithm-confusion-attack/PLAYBOOK.md 19 KB
- playbooks/application-api-security/exploiting-jwt-algorithm-confusion-attack/references/api-reference.md 2.4 KB
- playbooks/application-api-security/exploiting-jwt-algorithm-confusion-attack/scripts/agent.py 4.9 KB runs code
- playbooks/application-api-security/exploiting-mass-assignment-in-rest-apis/LICENSE 11 KB
- playbooks/application-api-security/exploiting-mass-assignment-in-rest-apis/PLAYBOOK.md 9.0 KB
- playbooks/application-api-security/exploiting-mass-assignment-in-rest-apis/references/api-reference.md 2.4 KB
- playbooks/application-api-security/exploiting-mass-assignment-in-rest-apis/scripts/agent.py 4.5 KB runs code
- playbooks/application-api-security/exploiting-nosql-injection-vulnerabilities/assets/template.md 1.1 KB
- playbooks/application-api-security/exploiting-nosql-injection-vulnerabilities/LICENSE 11 KB
- playbooks/application-api-security/exploiting-nosql-injection-vulnerabilities/PLAYBOOK.md 8.0 KB
- playbooks/application-api-security/exploiting-nosql-injection-vulnerabilities/references/api-reference.md 2.2 KB
- playbooks/application-api-security/exploiting-nosql-injection-vulnerabilities/references/standards.md 1.1 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.
- 10d ago First seen · 81 lines · 126 tokens per session scan A fd1f1e82b404
cyber-security-operations is a skill published in the GitHub repository oghie/skillsets (9 stars, last pushed 1mo ago), licensed MIT. It adds 126 tokens to every session and 1,097 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 2026-08-31.
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