security-and-hardening

security-and-hardening is a skill for Claude Code, Codex from qiuy-collab/AutoFlow.skill. It costs 48 tokens per session (4,743 once invoked), scanned B, a copy of security-hardening, MIT.

A security process for protecting software that handles user input, accounts, stored data, or outside services. It treats incoming data as untrusted, keeps secrets private, and requires authorization checks.

In plain words
What is it for?
Use it for authentication, sessions, file uploads, webhooks, payments, personal data, third-party integrations, and any feature that accepts untrusted input.
Why use it?
It helps identify how attackers could cross trust boundaries and misuse valuable data or actions. Addressing these risks during development is safer than adding controls afterward.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it for authentication, sessions, file uploads, webhooks, payments, personal data, third-party integrations, and any feature that accepts untrusted input.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qiuy-collab/autoflow.skill/security-and-hardening
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.

Any agent
npx skills add qiuy-collab/AutoFlow.skill --skill security-and-hardening
Clone the repo
git clone --depth 1 https://github.com/qiuy-collab/AutoFlow.skill

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for security-and-hardening

README.md
[![agentmods](https://agentmods.dev/badge/skills/qiuy-collab/autoflow.skill/security-and-hardening/github.svg)](https://agentmods.dev/skills/qiuy-collab/autoflow.skill/security-and-hardening)
Your own site
<a href="https://agentmods.dev/skills/qiuy-collab/autoflow.skill/security-and-hardening"><img src="https://agentmods.dev/badge/skills/qiuy-collab/autoflow.skill/security-and-hardening/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.

agentmods 80×15 button for security-and-hardening

Your own site · 80×15
<a href="https://agentmods.dev/skills/qiuy-collab/autoflow.skill/security-and-hardening"><img src="https://agentmods.dev/badge/skills/qiuy-collab/autoflow.skill/security-and-hardening.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,743 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 84% copy Near-identical to another mod 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 5.1 $0.00048 $0.04743
Opus 5 $0.00024 $0.02371
Sonnet 5 $0.00010 $0.00949
Haiku 4.5 $0.00005 $0.00474

Measured 11d ago against content hash 266c60e073bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

security-and-hardening scanned grade B with 2 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 11d 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.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

The `range() !== 'unicast'` check covers loopback, link-local `169.254.169.254` (cloud metadata, the #1 SSRF target), private, and unique-local ranges across IPv4 and IPv6.

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

await fetch(req.body.webhookUrl);
Origin

This is a copy

84% identical to security-hardening — 40 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

integrations/engineering-quality/security-and-hardening/SKILL.md · 468 lines

How it starts

The opening of the file, as written. The whole thing — 468 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security and Hardening

Overview

Security-first development practices for web applications. Treat every external input as hostile, every secret as sacred, and every authorization check as mandatory. Security isn't a phase — it's a constraint on every line of code that touches user data, authentication, or external systems.

When to Use

  • Building anything that accepts user input
  • Implementing authentication or authorization
  • Storing or transmitting sensitive data
  • Integrating with external APIs or services
  • Adding file uploads, webhooks, or callbacks
  • Handling payment or PII data

Process: Threat Model First

Controls bolted on without a threat model are guesses. Before hardening, spend five minutes thinking like an attacker:

  1. Map the trust boundaries. Where does untrusted data cross into your system? HTTP requests, form fields, file uploads, webhooks, third-party APIs, message queues, and LLM output. Every boundary is attack surface.
  2. Name the assets. What's worth stealing or breaking? Credentials, PII, payment data, admin actions, money movement.
  3. Run STRIDE over each boundary — a quick lens, not a ceremony:
Threat Ask Typical mitigation
Spoofing Can someone impersonate a user/service? Authentication, signature verification
Tampering Can data be altered in transit or at rest? Integrity checks, parameterized queries, HTTPS
Repudiation Can an action be denied later? Audit logging of security events
Information disclosure Can data leak? Encryption, field allowlists, generic errors
Denial of service Can it be overwhelmed? Rate limiting, input size caps, timeouts
Elevation of privilege Can a user gain rights they shouldn't? Authorization checks, least privilege
  1. Write abuse cases next to use cases. For each feature, ask "how would I misuse this?" — then make that your first test.

If you can't name the trust boundaries for a feature, you're not ready to secure it. This is OWASP A04: Insecure Design — most breaches begin in design, not code.

Read the full file on GitHub · 468 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. 11d ago First seen · 468 lines · 48 tokens per session scan B 266c60e073bc

Subscribe to this mod's changes

security-and-hardening is a skill published in the GitHub repository qiuy-collab/AutoFlow.skill (2 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 4,743 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). It is 84% identical to security-hardening, differing in 40 lines, and is treated as a copy.

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