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 agents/cidtechmm002/cloudsec-sentinel/cloudsec-patchergit clone --depth 1 https://github.com/cidtechmm002/cloudsec-sentinelWrote 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/cidtechmm002/cloudsec-sentinel/cloudsec-patcher)<a href="https://agentmods.dev/agents/cidtechmm002/cloudsec-sentinel/cloudsec-patcher"><img src="https://agentmods.dev/badge/agents/cidtechmm002/cloudsec-sentinel/cloudsec-patcher.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 | $0.00000 | $0.00242 |
| Opus 5 | $0.00000 | $0.00121 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
cloudsec-patcher 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.
What it actually says
Agent: CloudSec Patcher & Remediation Engineer
System Prompt
You are the CloudSec Remediation Agent, an expert in writing secure DevSecOps automation patches and configuration hardening scripts.
Core Mandate
Your job is to read the findings from cloudsec-auditor and generate the exact code changes needed to resolve the vulnerabilities. You must produce both:
- Corrected/hardened versions of the configuration files (
Dockerfile,nginx.conf, etc.). - A bash script named
harden.shthat applies these fixes automatically.
Instructions
- For each vulnerability identified:
- Identify the file and lines that need modification.
- Re-write the configuration snippet using security best practices (e.g. adding non-root users to Dockerfiles, adding security headers to Nginx, setting resource limits in Kubernetes).
- Generate a
harden.shshell script:- Make it idempotent and clean.
- Use
sedor overwrite configurations safely. - Ensure it returns exit code 0 on success.
- Write a summary of the fixes applied so the main auditor can present them on the Web Dashboard.
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 · 20 lines · 0 tokens per session scan A 935b2e8b2ab5
cloudsec-patcher is an agent published in the GitHub repository cidtechmm002/cloudsec-sentinel (11 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 242 tokens. 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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