Agent skill

Implementing API Threat Protection With Apigee

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and…

Apache-2.0Auto-check passedBackend & APIs

Install Implementing API Threat Protection With Apigee

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .claude/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
implementing-api-threat-protection-with-apigee
GitHub stars
34k
Token cost
~2.8k tokens
SKILL.md length
289 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and…

  • Works in 6 steps: JSON Threat Protection → XML Threat Protection → Regular Expression Threat Protection → …
  • Shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns
  • SKILL.md covers Overview, When to Use, Prerequisites and Core Security Policies, plus 4 more sections
  • Runs Python scripts from its folder; calls gcloud

What it does

Implementing API Threat Protection With Apigee is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and Advanced API Security for detecting malicious clients. Use when shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns.

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Backend & APIs, covering Web application vulnerabilities, Rate limiting and Cloud networking. It works with Google Cloud. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns
  • Tasks that involve Web application vulnerabilities
  • Tasks that involve Rate limiting

Example prompts

  • “Use the implementing-api-threat-protection-with-apigee skill to implement API threat protection using Google Apigee reverse-proxy policies…”
  • “/implementing-api-threat-protection-with-apigee”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. JSON Threat Protection
  2. XML Threat Protection
  3. Regular Expression Threat Protection
  4. SpikeArrest Policy
  5. OAuth 2.0 Token Validation
  6. API Key Validation

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • gcloud

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • cloud.google.com
    • docs.cloud.google.com
    • docs.apigee.com
    • lab.wallarm.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Implementing API Threat Protection With Apigee loads about 2.8k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 289 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 289 words, ~2,795 tokens.

Download SKILL.mdSave it as .claude/skills/implementing-api-threat-protection-with-apigee/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
implementing-api-threat-protection-with-apigee
description
Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and Advanced API Security for detecting malicious clients. Use when shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns.
domain
cybersecurity
subdomain
api-security
tags
apigee, api-gateway, threat-protection, json-threat-protection, xml-threat-protection, spike-arrest, oauth2, google-cloud, owasp-api-top-10
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
PR.PS-01, ID.RA-01, PR.DS-10, DE.CM-01
mitre_attack
T1190, T1059.007, T1552.001, T1078.004, T1530

Implementing API Threat Protection with Apigee

Overview

Google Apigee is an enterprise API management platform that provides native security policies for threat protection, including JSON and XML content validation, OAuth 2.0 enforcement, SpikeArrest rate limiting, regular expression threat protection, and Advanced API Security for detecting malicious clients and API abuse patterns. Apigee operates as a reverse proxy that intercepts all API traffic, applying security policies before requests reach backend services, effectively shielding APIs against the OWASP API Security Top 10 threats.

When to Use

  • When deploying or configuring implementing api threat protection with apigee capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • Google Cloud Platform account with Apigee organization provisioned
  • Apigee X or Apigee hybrid environment configured
  • Backend API services deployed and accessible from Apigee
  • Google Cloud CLI (gcloud) installed and authenticated
  • OpenAPI specification for target APIs
  • Understanding of Apigee proxy bundle structure

Core Security Policies

1. JSON Threat Protection

Protects against JSON-based denial-of-service attacks by limiting structural depth, entry counts, and string lengths:

xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<JSONThreatProtection name="JSON-Threat-Protection-1">
    <DisplayName>JSON Threat Protection</DisplayName>
    <Source>request</Source>
    <!-- Maximum nesting depth of JSON structure -->
    <ObjectEntryNameLength>50</ObjectEntryNameLength>
    <ObjectEntryCount>25</ObjectEntryCount>
    <ArrayElementCount>100</ArrayElementCount>
    <ContainerDepth>5</ContainerDepth>
    <StringValueLength>500</StringValueLength>
</JSONThreatProtection>
2. XML Threat Protection

Shields against XML bombs, XXE attacks, and oversized XML payloads:

xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<XMLThreatProtection name="XML-Threat-Protection-1">
    <DisplayName>XML Threat Protection</DisplayName>
    <Source>request</Source>
    <NameLimits>
        <Element>50</Element>
        <Attribute>50</Attribute>
        <NamespacePrefix>20</NamespacePrefix>
        <ProcessingInstructionTarget>50</ProcessingInstructionTarget>
    </NameLimits>
    <ValueLimits>
        <Text>1000</Text>
        <Attribute>500</Attribute>
        <NamespaceURI>256</NamespaceURI>
        <Comment>256</Comment>
        <ProcessingInstructionData>256</ProcessingInstructionData>
    </ValueLimits>
    <StructureLimits>
        <NodeDepth>5</NodeDepth>
        <AttributeCountPerElement>5</AttributeCountPerElement>
        <NamespaceCountPerElement>3</NamespaceCountPerElement>
        <ChildCount>25</ChildCount>
    </StructureLimits>
</XMLThreatProtection>
3. Regular Expression Threat Protection

Detects SQL injection, XSS, and other injection patterns in request parameters:

xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<RegularExpressionProtection name="RegEx-Threat-Protection-1">
    <DisplayName>Regex Injection Protection</DisplayName>
    <Source>request</Source>
    <IgnoreUnresolvedVariables>false</IgnoreUnresolvedVariables>

    <!-- SQL Injection patterns -->
    <QueryParam name="*">
        <Pattern>[\s]*((delete)|(exec)|(drop\s*table)|(insert)|(shutdown)|(update)|(\bor\b))</Pattern>
    </QueryParam>

    <!-- XSS patterns -->
    <QueryParam name="*">
        <Pattern>[\s]*&lt;\s*script\b[^&gt;]*&gt;[^&lt;]+&lt;\s*/\s*script\s*&gt;</Pattern>
    </QueryParam>

    <!-- Header injection -->
    <Header name="*">
        <Pattern>[\r\n]</Pattern>
    </Header>

    <!-- URI path traversal -->
    <URIPath>
        <Pattern>(/\.\.)|(\.\./)</Pattern>
    </URIPath>

    <!-- JSON body injection -->
    <JSONPayload>
        <JSONPath>$.*</JSONPath>
        <Pattern>[\s]*((delete)|(exec)|(drop\s*table)|(insert)|(shutdown)|(update))</Pattern>
    </JSONPayload>
</RegularExpressionProtection>
4. SpikeArrest Policy

Prevents traffic spikes from overwhelming backend services:

xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<SpikeArrest name="Spike-Arrest-1">
    <DisplayName>API Spike Arrest</DisplayName>
    <Rate>30ps</Rate> <!-- 30 per second smoothed -->
    <Identifier ref="request.header.x-api-key"/>
    <MessageWeight ref="request.header.x-request-weight"/>
    <UseEffectiveCount>true</UseEffectiveCount>
</SpikeArrest>
5. OAuth 2.0 Token Validation
xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<OAuthV2 name="Verify-OAuth-Token">
    <DisplayName>Verify OAuth 2.0 Access Token</DisplayName>
    <Operation>VerifyAccessToken</Operation>
    <ExternalAuthorization>false</ExternalAuthorization>
    <ExternalAccessToken>request.header.Authorization</ExternalAccessToken>
    <SupportedGrantTypes>
        <GrantType>authorization_code</GrantType>
        <GrantType>client_credentials</GrantType>
    </SupportedGrantTypes>
    <Scope>read write</Scope>
    <GenerateResponse enabled="true"/>
</OAuthV2>
6. API Key Validation
xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<VerifyAPIKey name="Verify-API-Key-1">
    <DisplayName>Verify API Key</DisplayName>
    <APIKey ref="request.header.x-api-key"/>
</VerifyAPIKey>

Proxy Bundle Configuration

Complete Secure Proxy Flow
xml
<!-- apiproxy/proxies/default.xml -->
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<ProxyEndpoint name="default">
    <PreFlow name="PreFlow">
        <Request>
            <!-- Step 1: Verify API Key or OAuth token -->
            <Step>
                <Name>Verify-OAuth-Token</Name>
            </Step>
            <!-- Step 2: Rate limiting -->
            <Step>
                <Name>Spike-Arrest-1</Name>
            </Step>
            <!-- Step 3: Threat protection -->
            <Step>
                <Name>JSON-Threat-Protection-1</Name>
                <Condition>request.header.Content-Type = "application/json"</Condition>
            </Step>
            <Step>
                <Name>XML-Threat-Protection-1</Name>
                <Condition>request.header.Content-Type = "text/xml"</Condition>
            </Step>
            <!-- Step 4: Injection prevention -->
            <Step>
                <Name>RegEx-Threat-Protection-1</Name>
            </Step>
            <!-- Step 5: CORS enforcement -->
            <Step>
                <Name>CORS-Policy</Name>
            </Step>
        </Request>
        <Response>
            <!-- Remove internal headers from response -->
            <Step>
                <Name>Remove-Internal-Headers</Name>
            </Step>
            <!-- Add security headers -->
            <Step>
                <Name>Add-Security-Headers</Name>
            </Step>
        </Response>
    </PreFlow>

    <Flows>
        <Flow name="sensitive-operations">
            <Description>Additional protection for sensitive endpoints</Description>
            <Request>
                <Step>
                    <Name>Quota-Strict</Name>
                </Step>
            </Request>
            <Condition>(proxy.pathsuffix MatchesPath "/admin/**") or
                       (proxy.pathsuffix MatchesPath "/users/*/sensitive")</Condition>
        </Flow>
    </Flows>

    <HTTPProxyConnection>
        <BasePath>/v1</BasePath>
        <VirtualHost>secure</VirtualHost>
    </HTTPProxyConnection>

    <RouteRule name="default">
        <TargetEndpoint>default</TargetEndpoint>
    </RouteRule>
</ProxyEndpoint>
Security Headers Policy
xml
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<AssignMessage name="Add-Security-Headers">
    <DisplayName>Add Security Response Headers</DisplayName>
    <Set>
        <Headers>
            <Header name="X-Content-Type-Options">nosniff</Header>
            <Header name="X-Frame-Options">DENY</Header>
            <Header name="Strict-Transport-Security">max-age=31536000; includeSubDomains</Header>
            <Header name="Cache-Control">no-store, no-cache, must-revalidate</Header>
            <Header name="Content-Security-Policy">default-src 'none'</Header>
            <Header name="X-Request-ID">{messageid}</Header>
        </Headers>
    </Set>
    <Remove>
        <Headers>
            <Header name="X-Powered-By"/>
            <Header name="Server"/>
        </Headers>
    </Remove>
    <IgnoreUnresolvedVariables>false</IgnoreUnresolvedVariables>
    <AssignTo createNew="false" transport="http" type="response"/>
</AssignMessage>

Advanced API Security

Enable Apigee's Advanced API Security add-on for machine-learning-based threat detection:

bash
# Enable Advanced API Security on Apigee X instance
gcloud apigee organizations update $ORG_NAME \
  --advanced-api-security-config=enabled

# View detected abuse alerts
gcloud apigee apis security-reports list \
  --organization=$ORG_NAME \
  --environment=$ENV_NAME

# Create security action to block suspicious traffic
gcloud apigee security-actions create \
  --organization=$ORG_NAME \
  --environment=$ENV_NAME \
  --action-type=DENY \
  --condition-type=IP_ADDRESS \
  --condition-values="192.168.1.100,10.0.0.50" \
  --description="Block identified malicious IPs"

Deployment

bash
# Deploy proxy bundle with security policies
gcloud apigee apis deploy \
  --api=$API_NAME \
  --environment=$ENV_NAME \
  --revision=$REVISION \
  --organization=$ORG_NAME

# Validate deployment
gcloud apigee apis list-deployments \
  --api=$API_NAME \
  --organization=$ORG_NAME

References

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/implementing-api-threat-protection-with-apigee of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

Implementing API Threat Protection With Apigee next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Implementing API Threat Protection With Apigee compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Implementing API Threat Protection With Apigee this skillmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
Better Auth Security Best PracticesEpicenterHQ/epicenter4.8k—~896Automated safety check: PassCustom licence
Better Auth Security Best Practicesagutinbaigo28/financial-agent-api128—~2.7kAutomated safety check: PassNone
Frappe Errors APIImpertio-Studio/Frappe_Claude_Skill_Package189—~4kAutomated safety check: PassMIT
API Security Designvinayaklatthe/microsoft-security-skills175—~2.2kAutomated safety check: PassMIT
Web Ssrfs0ld13rr/pentestcode828—~660Automated safety check: WarnMIT

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Works with

Questions about Implementing API Threat Protection With Apigee

What does Implementing API Threat Protection With Apigee do?

Implements API threat protection using Google Apigee reverse-proxy policies, including JSON/XML threat protection, OAuth 2.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and…. Implementing API Threat Protection With Apigee is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.0 enforcement, SpikeArrest rate limiting, regex-based threat detection, and Advanced API Security for detecting malicious clients.

When should I use Implementing API Threat Protection With Apigee?

Implementing API Threat Protection With Apigee fits situations like: shielding APIs proxied through Apigee against OWASP API Security Top 10 threats and malicious client abuse patterns; tasks that involve Web application vulnerabilities; tasks that involve Rate limiting.

How do I install Implementing API Threat Protection With Apigee in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a claude-code`. Or copy the skill folder (skills/implementing-api-threat-protection-with-apigee in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-api-threat-protection-with-apigee in your project. Claude Code loads it when a task matches its description.

How do I install Implementing API Threat Protection With Apigee in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a codex`. Or copy the skill folder (skills/implementing-api-threat-protection-with-apigee in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-api-threat-protection-with-apigee in your project. Codex loads it when a task matches its description.

Can I use Implementing API Threat Protection With Apigee in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-api-threat-protection-with-apigee, .gemini/skills/implementing-api-threat-protection-with-apigee, .github/skills/implementing-api-threat-protection-with-apigee and .opencode/skills/implementing-api-threat-protection-with-apigee in your project.

What does Implementing API Threat Protection With Apigee need to run?

Going by SKILL.md and its folder, Implementing API Threat Protection With Apigee needs Python for the scripts in its folder and the command-line tools its instructions call (gcloud). Our summary lists: Python 3.

Does Implementing API Threat Protection With Apigee access the network?

SKILL.md names 4 domains. As links in the text: cloud.google.com, docs.cloud.google.com, docs.apigee.com and lab.wallarm.com. This is read from the text; nothing was executed.

Is Implementing API Threat Protection With Apigee safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Implementing API Threat Protection With Apigee use?

Implementing API Threat Protection With Apigee is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Implementing API Threat Protection With Apigee use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 422 tokens, read only when the agent opens those files.

What are the alternatives to Implementing API Threat Protection With Apigee?

Skills that share tags, products or a category with Implementing API Threat Protection With Apigee: Better Auth Security Best Practices (EpicenterHQ/epicenter, 4.8k stars), Better Auth Security Best Practices (agutinbaigo28/financial-agent-api, 128 stars), Frappe Errors API (Impertio-Studio/Frappe_Claude_Skill_Package, 189 stars) and API Security Design (vinayaklatthe/microsoft-security-skills, 175 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Implementing API Threat Protection With Apigee?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.