reviewing-content-security-policy

reviewing-content-security-policy is a skill for Claude Code from UnboundCompute/security-agent-skills. It costs 177 tokens per session (2,020 once invoked), scanned A, original, MIT.

A review of a content security policy, a browser rule that limits where pages may load or run scripts. It checks whether the policy would actually block injected script in the pages it protects.

In plain words
What is it for?
Use it to assess script policies alongside reflected or stored user input and other possible injection points.
Why use it?
A policy that looks strict may still allow an attack, while a weak-looking policy may be sufficient when no script-injection path exists.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the security-agent-skills plugin — 194 skills shipped together

Good fit Use it to assess script policies alongside reflected or stored user input and other possible injection points.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/unboundcompute/security-agent-skills/reviewing-content-security-policy
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 UnboundCompute/security-agent-skills --skill reviewing-content-security-policy
Clone the repo
git clone --depth 1 https://github.com/UnboundCompute/security-agent-skills

Made for: Claude Code.

Or install security-agent-skills, the plugin that ships this one along with the rest of its 194 skills.

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 reviewing-content-security-policy

README.md
[![agentmods](https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy/github.svg)](https://agentmods.dev/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy)
Your own site
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy/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 reviewing-content-security-policy

Your own site · 80×15
<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/reviewing-content-security-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 177 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,020 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00177 $0.02020
Opus 5.5 $0.00071 $0.00808
Sonnet 5.5 $0.00035 $0.00404
Haiku 4.5 $0.00018 $0.00202

Measured 1mo ago against content hash 26db5aa80fff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reviewing-content-security-policy 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 1mo 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/reviewing-content-security-policy/SKILL.md · 134 lines

How it starts

The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewing a content security policy: whether it stops the injection or only looks strict

A content security policy is a defense-in-depth control against injected script, and reviewing one is less about listing weak directives than about a single judgment: if an attacker gets markup onto this page, does the policy stop the script from running. That reframing matters both ways. A permissive policy on a page with a real injection vector turns a mitigated cross-site-scripting bug into an exploitable one, and is a genuine finding. The same permissive policy on a page with no injection sink is defense-in-depth worth hardening but not an exploit. And a policy that looks weak, an inline allowance sitting next to a nonce, is often not weak at all, because the browser ignores the legacy allowance when the nonce is present. You review it by reading the policy against the pages it protects and asking what an injected script could still do.

When to use

  • A response sets a content security policy, in a header, a meta tag, or configuration.
  • You are already looking at a page that reflects or stores user input, or want to know whether one is protected.
  • You need to tell a policy that blocks injected script from one that only appears to.

Scope check

Review policies on applications you own or are authorized to assess, and demonstrate a bypass only against pages in scope. A confirmed policy bypass paired with an injection is a working cross-site script, so treat it as such and coordinate. If you can't name the authorization, stop.

The loop

  1. Map the policy, its delivery, and the sinks it must protect. Read the policy and how it is delivered, and find whether the pages it covers have an injection sink: a place user input reaches markup or script. The presence or absence of that sink decides whether a weakness is exploitable or only defense-in-depth, so establish it first.

  2. Check inline script. A script source that allows inline script with no nonce or hash lets an injected inline script or event-handler attribute run. This is the single most common real weakness, but read it carefully: a nonce or hash present alongside the inline allowance makes a modern browser ignore the allowance, so that combination is mitigated, not broken.

Read the full file on GitHub · 134 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. 1mo ago First seen · 134 lines · 177 tokens per session scan A 26db5aa80fff

Subscribe to this mod's changes

reviewing-content-security-policy is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 177 tokens to every session and 2,020 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-05.

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