Better Auth Security Best Practices
EpicenterHQ/epicenter
Better Auth security hardening: rate limits, secrets, CSRF, trusted origins, cookies, sessions, OAuth tokens, and audit logging.
Agent skill
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…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .claude/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigeeType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .agents/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .agents/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .cursor/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .cursor/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/implementing-api-threat-protection-with-apigee--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .gemini/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .gemini/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigeeInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .github/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .github/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-api-threat-protection-with-apigee -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-api-threat-protection-with-apigee --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/implementing-api-threat-protection-with-apigee .opencode/skills/implementing-api-threat-protection-with-apigee && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "implementing-api-threat-protection-with-apigee" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-api-threat-protection-with-apigee into .opencode/skills/implementing-api-threat-protection-with-apigee/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-api-threat-protection-with-apigee", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
implementing-api-threat-protection-with-apigeeImplements 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. 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.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
gcloudFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
cloud.google.comdocs.cloud.google.comdocs.apigee.comlab.wallarm.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 289 words, ~2,795 tokens.
.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.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.
Protects against JSON-based denial-of-service attacks by limiting structural depth, entry counts, and string lengths:
<?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>Shields against XML bombs, XXE attacks, and oversized XML payloads:
<?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>Detects SQL injection, XSS, and other injection patterns in request parameters:
<?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]*<\s*script\b[^>]*>[^<]+<\s*/\s*script\s*></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>Prevents traffic spikes from overwhelming backend services:
<?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><?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><?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><!-- 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><?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>Enable Apigee's Advanced API Security add-on for machine-learning-based threat detection:
# 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=$ENV_NAME \
--action-type=DENY \
--condition-type=IP_ADDRESS \
--condition-values="192.168.1.100,10.0.0.50" \
--description="Block identified malicious IPs"# Deploy proxy bundle with security policies
gcloud apigee apis deploy \
--api=$API_NAME \
--environment=$ENV_NAME \
--revision=$REVISION \
--organization=$ORG_NAME
# Validate deployment
gcloud apigee apis list-deployments \
--api=$API_NAME \
--organization=$ORG_NAME© 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
SKILL.md and 3 other files (scripts, references) in skills/implementing-api-threat-protection-with-apigee of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Implementing API Threat Protection With Apigee this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| Better Auth Security Best PracticesEpicenterHQ/epicenter | 4.8k | — | ~896 | Automated safety check: Pass | Custom licence | |
| Better Auth Security Best Practicesagutinbaigo28/financial-agent-api | 128 | — | ~2.7k | Automated safety check: Pass | None | |
| Frappe Errors APIImpertio-Studio/Frappe_Claude_Skill_Package | 189 | — | ~4k | Automated safety check: Pass | MIT | |
| API Security Designvinayaklatthe/microsoft-security-skills | 175 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Web Ssrfs0ld13rr/pentestcode | 828 | — | ~660 | Automated safety check: Warn | MIT |
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Guidance for designing secure APIs on Azure - authentication, authorization, gateway controls, input validation, rate limiting, secret management, and runtime threat detection - aligned to OWASP API…
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mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Works with
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.