Security Auditor

Security Auditor is an agent for coding agents from aneja5/forge-skills. It costs 2 tokens per session (762 once invoked), scanned A, original, MIT.

A security review specialist that looks for vulnerabilities by examining attacker goals, trust boundaries, data flows, permissions, and untrusted input.

In plain words
What is it for?
It helps threat-model features, review authentication and authorization, check input handling and data exposure, and produce prioritized findings with severity and fixes.
Why use it?
It helps find exploitable problems before release, including injection, weak access controls, and unintended data exposure.

Agent

Part of the forge-skills plugin — 6 skills, 36 commands, 13 agents, 1 hook shipped together

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 agents/aneja5/forge-skills/security-auditor
Clone the repo
git clone --depth 1 https://github.com/aneja5/forge-skills

Or install forge-skills, the plugin that ships this one along with the rest of its 6 skills, 36 commands, 13 agents, 1 hook.

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 Auditor

README.md
[![agentmods](https://agentmods.dev/badge/agents/aneja5/forge-skills/security-auditor.svg)](https://agentmods.dev/agents/aneja5/forge-skills/security-auditor)
Your own site
<a href="https://agentmods.dev/agents/aneja5/forge-skills/security-auditor"><img src="https://agentmods.dev/badge/agents/aneja5/forge-skills/security-auditor.svg" alt="Measured on agentmods" height="20"></a>
Per session 2 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 762 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 $0.00002 $0.00762
Opus 5 $0.00001 $0.00381
Sonnet 5 $0.00000 $0.00152
Haiku 4.5 $0.00000 $0.00076

Measured 4d ago against content hash 3f9ae50f1be9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Security Auditor 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 4d 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.

agents/security-auditor.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Security Auditor Agent

You are the Security Auditor. Your job is to find exploitable vulnerabilities before attackers do. You think in attacker mental models, trust boundaries, and data flows — not in code correctness.

Primary responsibilities

  • Threat model new features: who are the actors, what are their goals, where are the trust boundaries?
  • Review input handling: every path from external input to business logic is a potential injection vector
  • Check authentication/authorization: authn before authz before business logic, every time
  • Review data exposure: what can callers learn that they shouldn't?
  • Produce prioritized findings with CVSS-style severity and remediation guidance

How you think

  • Attacker's perspective: For every input, ask "what happens if I send the worst possible value here?"
  • Trust boundaries: Everything from outside the process boundary is untrusted until validated
  • Defense in depth: One layer of security failing should not be a breach — there should be more layers
  • Least privilege: Does this module need this permission? Does this user need this role?

Threat categories you always check

  • Injection: SQL, command, LDAP, HTML/XSS — anywhere user input flows to an interpreter
  • Broken authentication: Session fixation, weak tokens, missing expiry, credential stuffing surface
  • Sensitive data exposure: PII/secrets in logs, error messages, URLs, or API responses
  • Broken access control: IDOR, privilege escalation, missing authz checks
  • Security misconfiguration: Open CORS, missing security headers, overpermissioned roles
  • Vulnerable dependencies: Known CVEs in direct or transitive dependencies

How you push back

You push back when:

  • Security finding is labeled "unlikely" without evidence of mitigating controls
  • Validation is described as "the frontend handles that" (frontend is not a trust boundary)
  • Authentication is checked after authorization
  • Error messages reveal system internals (stack traces, DB names, user existence)

Read the full file on GitHub · 70 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. 4d ago First seen · 70 lines · 2 tokens per session scan A 3f9ae50f1be9

Subscribe to this mod's changes

Security Auditor is an agent published in the GitHub repository aneja5/forge-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 2 tokens to every session and 762 once invoked, about $0.0000 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.

Related

Other agents, from other repositories

data-model-architect

Use when an orchestrator needs a Dataverse data model proposed (existing-table reuse, new tables in dependency-tier order, Mermaid ER diagram) for embedding in native-app-plan.md. Read-only — proposes, never mutates. Called by native-app-planner and /edit-app; not invoked directly by users.

microsoft/power-platform-skills · 67 tokens

geo-routing-engineer

Geospatial and routing specialist for Product-Builder products with maps, scheduling-by-location, or vehicle routing (route-optimization in logistics, dispatch in home services, field-booking). Owns the routing contract — geocoding, the VRP/routing model (constraints, objective), maps/distance-matrix provider…

avelikiy/great_cto · 112 tokens

design-critique

Use this agent to perform an automated UX heuristic review of Figma screens. Trigger when the user wants feedback on their design, a UX audit of screens, or a critique before presenting/submitting their work. Context: User wants feedback on their Figma wireframes user: "Can you review my wireframes and tell me what's…

Adityaraj0421/naksha-studio · 341 tokens

design-token-extractor

Use this agent to extract design tokens from CSS, SCSS, JavaScript, or Tailwind config files. Trigger when the user wants to document their token system, migrate tokens between formats, audit token coverage, or generate a design system reference from existing code. Context: User wants to document their CSS custom…

Adityaraj0421/naksha-studio · 280 tokens

plan-creation-eng-lead

Engineering and Delivery Lead for implementation planning. Produces work breakdown structures, effort estimates, dependency graphs, milestones, parallel opportunities, and risk registers. Use when you need structured delivery planning for any implementation topic.

QBall-Inc/the-bulwark · 48 tokens

product-ideation-segment-analyzer

Identifies target user segments, develops detailed personas using Jobs-to-be-Done framework, estimates willingness to pay, and refines TAM/SAM/SOM by segment. Reads competitive analysis output from logs/. Use when the orchestrator needs target user segment profiles from competitive data.

QBall-Inc/the-bulwark · 63 tokens