devsecops

A set of instructions for adding security checks to a software delivery pipeline. It covers SAST, which scans source code; DAST, which tests running applications; SCA, which checks dependencies; and scans for secrets and container vulnerabilities.

In plain words
What is it for?
Use it to assess and secure pipelines on platforms such as GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps, and Bitbucket, including code, dependencies, secrets, containers, and deployment artifacts.
Why use it?
It brings security checks into CI/CD, the automated process that builds, tests, and deploys software. Security gates can identify problems earlier and can stop deployments when required.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/arbazkhan971/godmode/devsecops
Any agent
npx skills add arbazkhan971/godmode --skill devsecops
Clone the repo
git clone --depth 1 https://github.com/arbazkhan971/godmode

Made for: Claude Code, Codex.

Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,568 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00047 $0.02568
Opus 5 $0.00023 $0.01284
Sonnet 5 $0.00009 $0.00514
Haiku 4.5 $0.00005 $0.00257

Measured 2d ago against content hash 39103b62b6a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

devsecops 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 2d 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.

skills/devsecops/SKILL.md · 297 lines

How it starts

The opening of the file, as written. The whole thing — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DevSecOps — Secure Pipeline Integration

Activate When

  • User invokes /godmode:devsecops
  • User says "secure pipeline", "add SAST", "security scanning", "shift left"
  • User says "container scan", "dependency scan", "secret scanning in CI"
  • User says "security gate", "block deploys on vulnerabilities"
  • Building CI/CD pipelines that handle sensitive code or data
  • After /godmode:pentest reveals issues to catch automatically
  • When /godmode:cicd needs security controls integrated
  • Compliance requires automated security testing (SOC2, PCI-DSS, HIPAA)

Workflow

Step 1: Pipeline Security Assessment

Evaluate the current CI/CD pipeline security posture:

PIPELINE SECURITY ASSESSMENT:
  CI/CD Platform: <GitHub Actions | GitLab CI | Jenkins |
  CircleCI | Azure DevOps | Bitbucket>
  Source control: <GitHub | GitLab | Bitbucket | Azure Repos>
  Artifact registry: <Docker Hub | ECR | GCR | ACR | GHCR>
  Deployment target: <K8s | ECS | Lambda | VMs | PaaS>
  CURRENT SECURITY CONTROLS:
  ┌────────────────────┬──────────┬───────────────────────┐
|  | Control | Status | Tool |  |
  ├────────────────────┼──────────┼───────────────────────┤
|  | SAST | YES/NO | <tool or none> |  |
|  | DAST | YES/NO | <tool or none> |  |
  ...

Step 2: SAST Integration (Static Application Security Testing)

Configure static code analysis for security vulnerabilities.

All security workflows share a common trigger (adjust per org policy):

# Common trigger pattern for all security scanning workflows
on:
  pull_request:
    branches: [main]
  push:
    branches: [main]
Semgrep
#.github/workflows/sast-semgrep.yml
name: SAST — Semgrep
# trigger: on pull_request + push to main (see common trigger pattern)
SEMGREP CONFIGURATION:
Rulesets:
 - auto (Semgrep-curated rules for detected languages)
 - p/owasp-top-ten (OWASP Top 10 coverage)
 - p/cwe-top-25 (CWE Top 25 most dangerous weaknesses)
 - p/security-audit (broad security patterns)
 - p/<language>-security (language-specific rules)

Custom rules directory:.semgrep/
 Create custom rules for project-specific patterns:
 - Banned functions (eval, exec, unsafe APIs)
 - Required patterns (input validation on routes)
  ...
CodeQL
#.github/workflows/sast-codeql.yml
name: SAST — CodeQL
# trigger: same as Semgrep (PR + push to main)

Read the full file on GitHub · 297 lines

Changes

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.

  1. 2d ago First seen · 297 lines · 47 tokens per session scan A 39103b62b6a3

Subscribe to this mod's changes

devsecops is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 4d ago), licensed MIT. It adds 47 tokens to every session and 2,568 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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