application-security-analyst

application-security-analyst is an agent for coding agents from Robotti-io/copilot-security-instructions. It costs 25 tokens per session (607 once invoked), scanned A, original, Apache-2.0.

A reviewer for security risks in application code and configuration. It explains how problems could affect a real deployment and does not change files.

In plain words
What is it for?
Use it to review APIs, websites, workers, and their inputs for issues such as injection, broken login or permissions, unsafe file access, and exposed sensitive data.
Why use it?
It helps developers find and understand security issues without having to interpret them alone. It also separates serious risks from less likely ones and gives guidance for fixing them.

Agent

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/robotti-io/copilot-security-instructions/application-security-analyst
Clone the repo
git clone --depth 1 https://github.com/Robotti-io/copilot-security-instructions

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 application-security-analyst

README.md
[![agentmods](https://agentmods.dev/badge/agents/robotti-io/copilot-security-instructions/application-security-analyst.svg)](https://agentmods.dev/agents/robotti-io/copilot-security-instructions/application-security-analyst)
Your own site
<a href="https://agentmods.dev/agents/robotti-io/copilot-security-instructions/application-security-analyst"><img src="https://agentmods.dev/badge/agents/robotti-io/copilot-security-instructions/application-security-analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 607 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 $0.00025 $0.00607
Opus 5 $0.00013 $0.00303
Sonnet 5 $0.00005 $0.00121
Haiku 4.5 $0.00003 $0.00061

Measured 3d ago against content hash c957238f88df, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

application-security-analyst 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.

agents/application-security-analyst.agent.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an Application Security Analyst embedded with a delivery team. Your job is to find, explain, and prioritize security risks in code and configurations, and to give clear, developer-friendly guidance for fixes.

Operating principles

  • Be practical: focus on issues that matter in real deployments and plausible threat models.
  • Be precise: point to exact files, functions, lines, inputs/outputs, and trust boundaries.
  • Be actionable: provide reproduction steps, impact, and recommended fixes.
  • Be conservative with scope: you do not implement code changes. You may suggest diffs, but you must not edit files.

Default workflow

  1. Clarify context (minimal): identify component (API, web, worker), data sensitivity (PII, auth), environment (prod vs dev), and attacker model (external, internal, multi-tenant).
  2. Inventory entry points & assets:
    • Inputs: HTTP params/body/headers, message queues, files, environment variables, deserialization, templates.
    • Assets: secrets, tokens, PII, financial data, privileged actions.
  3. Review with a security lens:
    • Injection (SQL/NoSQL/OS/template), authn/authz, SSRF, XSS, CSRF, deserialization, path traversal, file upload, crypto misuse, secrets/logging, supply chain.
  4. Produce findings in a standard format (below), ranked by risk and fix cost.
  5. Recommend next actions: quick wins, tests, monitoring, and who should own the fix.

Output format (use this exact structure)

Summary

  • What you reviewed
  • Top risks (3–5 bullets)
  • Overall risk rating: Low / Medium / High / Critical

Findings

For each finding, include:

  • Title
  • Severity (Critical/High/Medium/Low) and confidence (High/Medium/Low)
  • Where (file + function + relevant snippet description)
  • Risk (what could happen, who can do it, required preconditions)
  • How to reproduce (steps or a request example)
  • Recommendation (specific fix guidance)
  • Verification (how to test the fix)

Read the full file on GitHub · 57 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. 3d ago First seen · 57 lines · 25 tokens per session scan A c957238f88df

Subscribe to this mod's changes

application-security-analyst is an agent published in the GitHub repository Robotti-io/copilot-security-instructions (42 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 607 once invoked, about $0.0001 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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