Creator · omnigent-ai
Last updated · Sep 1, 2026
Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only —
Creator · omnigent-ai
Last updated · Sep 1, 2026
Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only —
Creator · omnigent-ai
Last updated · Sep 1, 2026
Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only —
Creator · omnigent-ai
Last updated · Sep 1, 2026
Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only —
Review then install
Install targets
Codex install prompt
Install the "security-audit" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/examples/sentinel/skills/security-audit. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"omnigent-ai-security-audit","task":"Install security-audit","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add omnigent-ai/omnigent --skill security-audit
Maintenance
fresh
5d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
9.6K
87/100 Quality · 86/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.6K GitHub stars
Repo activity
9.6K stars, 1.5K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add omnigent-ai/omnigent --skill security-audit
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add omnigent-ai/omnigent --skill security-auditDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/omnigent-ai-security-audit/install
Agent should check
Copy prompt
Task: Use security-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install
Install command: npx skills add omnigent-ai/omnigent --skill security-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/omnigent-ai-security-audit/install
LLM text format
/api/skills/omnigent-ai-security-audit/install?format=text
Find alternatives
/api/skills/search?q=security-audit&limit=3
Agent prompt
Use security-audit for this task. Review https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install, then install with: npx skills add omnigent-ai/omnigent --skill security-auditRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/omnigent-ai-security-audit
LLM text
/api/registry/manifest/omnigent-ai-security-audit?format=text
Install alias
/api/registry/install/omnigent-ai-security-audit
Recommend
/api/registry/recommend?task=Use%20security-audit%20in%20an%20agent%20workflow&limit=3
Agent fit
Security and compliance
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Security and compliance
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.6K GitHub stars
Stars/forks activity
PASS9.6K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: security-audit description: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. ---
# security-audit — review code for security issues, report only
## 1. Collect scope
Identify what to audit (a directory, a diff, a module). Gather it yourself with sys_os_* / git — this is plumbing, not investigation.
## 2. Dispatch the scanner (purpose: explore / search)
Hand the scanner the scope; it reads source, manifests, history and returns per-finding evidence. Do NOT sprawl across the repo yourself.
## 3. Synthesize the draft — FINDINGS TEMPLATE (must match orchestrator prompt)
For each finding:
### <Severity>: <short title> - **Severity**: Critical | High | Medium | Low | Info - **Location**: file:line - **Recommendation**: <fix guidance — describe it, never apply it> - **Confidence**: high | medium | low
## 4. Cross-vendor review (purpose: review)
Route the draft through the reviewer (codex, different vendor) to confirm true positives and drop false positives. Fold in its verdicts.
## 5. Deliver
Present the final report. You REPORT; you never edit, patch, or fix code.
Source provenance
Decision snapshot
9,582 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for security-audit, ready for a manual X post.
security-audit: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deser... 9.6K stars https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x
Listing + install path for security-audit: https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x Install: npx skills add omnigent-ai/omnigent --skill security-audit
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to omnigent-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit/audit)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)omnigent-ai
@omnigent-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "security-audit" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/examples/sentinel/skills/security-audit. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"omnigent-ai-security-audit","task":"Install security-audit","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add omnigent-ai/omnigent --skill security-audit
Maintenance
fresh
5d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
9.6K
87/100 Quality · 86/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.6K GitHub stars
Repo activity
9.6K stars, 1.5K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add omnigent-ai/omnigent --skill security-audit
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add omnigent-ai/omnigent --skill security-auditDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/omnigent-ai-security-audit/install
Agent should check
Copy prompt
Task: Use security-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install
Install command: npx skills add omnigent-ai/omnigent --skill security-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/omnigent-ai-security-audit/install
LLM text format
/api/skills/omnigent-ai-security-audit/install?format=text
Find alternatives
/api/skills/search?q=security-audit&limit=3
Agent prompt
Use security-audit for this task. Review https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install, then install with: npx skills add omnigent-ai/omnigent --skill security-auditRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/omnigent-ai-security-audit
LLM text
/api/registry/manifest/omnigent-ai-security-audit?format=text
Install alias
/api/registry/install/omnigent-ai-security-audit
Recommend
/api/registry/recommend?task=Use%20security-audit%20in%20an%20agent%20workflow&limit=3
Agent fit
Security and compliance
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Security and compliance
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.6K GitHub stars
Stars/forks activity
PASS9.6K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: security-audit description: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. ---
# security-audit — review code for security issues, report only
## 1. Collect scope
Identify what to audit (a directory, a diff, a module). Gather it yourself with sys_os_* / git — this is plumbing, not investigation.
## 2. Dispatch the scanner (purpose: explore / search)
Hand the scanner the scope; it reads source, manifests, history and returns per-finding evidence. Do NOT sprawl across the repo yourself.
## 3. Synthesize the draft — FINDINGS TEMPLATE (must match orchestrator prompt)
For each finding:
### <Severity>: <short title> - **Severity**: Critical | High | Medium | Low | Info - **Location**: file:line - **Recommendation**: <fix guidance — describe it, never apply it> - **Confidence**: high | medium | low
## 4. Cross-vendor review (purpose: review)
Route the draft through the reviewer (codex, different vendor) to confirm true positives and drop false positives. Fold in its verdicts.
## 5. Deliver
Present the final report. You REPORT; you never edit, patch, or fix code.
Source provenance
Decision snapshot
9,582 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for security-audit, ready for a manual X post.
security-audit: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deser... 9.6K stars https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x
Listing + install path for security-audit: https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x Install: npx skills add omnigent-ai/omnigent --skill security-audit
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to omnigent-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit/audit)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)omnigent-ai
@omnigent-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "security-audit" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/examples/sentinel/skills/security-audit. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"omnigent-ai-security-audit","task":"Install security-audit","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add omnigent-ai/omnigent --skill security-audit
Maintenance
fresh
5d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
9.6K
87/100 Quality · 86/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.6K GitHub stars
Repo activity
9.6K stars, 1.5K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add omnigent-ai/omnigent --skill security-audit
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add omnigent-ai/omnigent --skill security-auditDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/omnigent-ai-security-audit/install
Agent should check
Copy prompt
Task: Use security-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install
Install command: npx skills add omnigent-ai/omnigent --skill security-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/omnigent-ai-security-audit/install
LLM text format
/api/skills/omnigent-ai-security-audit/install?format=text
Find alternatives
/api/skills/search?q=security-audit&limit=3
Agent prompt
Use security-audit for this task. Review https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install, then install with: npx skills add omnigent-ai/omnigent --skill security-auditRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/omnigent-ai-security-audit
LLM text
/api/registry/manifest/omnigent-ai-security-audit?format=text
Install alias
/api/registry/install/omnigent-ai-security-audit
Recommend
/api/registry/recommend?task=Use%20security-audit%20in%20an%20agent%20workflow&limit=3
Agent fit
Security and compliance
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Security and compliance
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.6K GitHub stars
Stars/forks activity
PASS9.6K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: security-audit description: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. ---
# security-audit — review code for security issues, report only
## 1. Collect scope
Identify what to audit (a directory, a diff, a module). Gather it yourself with sys_os_* / git — this is plumbing, not investigation.
## 2. Dispatch the scanner (purpose: explore / search)
Hand the scanner the scope; it reads source, manifests, history and returns per-finding evidence. Do NOT sprawl across the repo yourself.
## 3. Synthesize the draft — FINDINGS TEMPLATE (must match orchestrator prompt)
For each finding:
### <Severity>: <short title> - **Severity**: Critical | High | Medium | Low | Info - **Location**: file:line - **Recommendation**: <fix guidance — describe it, never apply it> - **Confidence**: high | medium | low
## 4. Cross-vendor review (purpose: review)
Route the draft through the reviewer (codex, different vendor) to confirm true positives and drop false positives. Fold in its verdicts.
## 5. Deliver
Present the final report. You REPORT; you never edit, patch, or fix code.
Source provenance
Decision snapshot
9,582 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for security-audit, ready for a manual X post.
security-audit: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deser... 9.6K stars https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x
Listing + install path for security-audit: https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x Install: npx skills add omnigent-ai/omnigent --skill security-audit
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to omnigent-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit/audit)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)omnigent-ai
@omnigent-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsReview then install
Install targets
Codex install prompt
Install the "security-audit" agent skill from https://github.com/omnigent-ai/omnigent/tree/main/examples/sentinel/skills/security-audit. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"omnigent-ai-security-audit","task":"Install security-audit","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add omnigent-ai/omnigent --skill security-audit
Maintenance
fresh
5d since push
Risk
Needs review
Financial research output is not financial advice; require human review before any live investment decision
GitHub quality
9.6K
87/100 Quality · 86/100 Trust
Coverage tags
Review notes
Financial research output is not financial advice; require human review before any live investment decision · Financial research output is not financial advice; require human review before any live investment decision.
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Review then installGood shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Use as the primary candidate after human or sandbox review.
Stars
9.6K GitHub stars
Repo activity
9.6K stars, 1.5K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add omnigent-ai/omnigent --skill security-audit
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add omnigent-ai/omnigent --skill security-auditDo not use when
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/omnigent-ai-security-audit/install
Agent should check
Copy prompt
Task: Use security-audit in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20security-audit%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install
Install command: npx skills add omnigent-ai/omnigent --skill security-audit
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/omnigent-ai-security-audit/install
LLM text format
/api/skills/omnigent-ai-security-audit/install?format=text
Find alternatives
/api/skills/search?q=security-audit&limit=3
Agent prompt
Use security-audit for this task. Review https://www.openagentskill.com/api/skills/omnigent-ai-security-audit/install, then install with: npx skills add omnigent-ai/omnigent --skill security-auditRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/omnigent-ai-security-audit
LLM text
/api/registry/manifest/omnigent-ai-security-audit?format=text
Install alias
/api/registry/install/omnigent-ai-security-audit
Recommend
/api/registry/recommend?task=Use%20security-audit%20in%20an%20agent%20workflow&limit=3
Agent fit
Security and compliance
Platforms
Claude Code, OpenAI Agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Security and compliance
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.
GitHub adoption
PASS9.6K GitHub stars
Stars/forks activity
PASS9.6K stars, 1.5K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Use as the primary candidate after human or sandbox review.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Reduce risk
I need my agent to scan a project for security risks and summarize what needs attention.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: security-audit description: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deserialization, weak crypto, authz gaps) and produce a structured findings report. Use when the user asks for a security review, an audit, or to check code for vulnerabilities. Report only — never fix. ---
# security-audit — review code for security issues, report only
## 1. Collect scope
Identify what to audit (a directory, a diff, a module). Gather it yourself with sys_os_* / git — this is plumbing, not investigation.
## 2. Dispatch the scanner (purpose: explore / search)
Hand the scanner the scope; it reads source, manifests, history and returns per-finding evidence. Do NOT sprawl across the repo yourself.
## 3. Synthesize the draft — FINDINGS TEMPLATE (must match orchestrator prompt)
For each finding:
### <Severity>: <short title> - **Severity**: Critical | High | Medium | Low | Info - **Location**: file:line - **Recommendation**: <fix guidance — describe it, never apply it> - **Confidence**: high | medium | low
## 4. Cross-vendor review (purpose: review)
Route the draft through the reviewer (codex, different vendor) to confirm true positives and drop false positives. Fold in its verdicts.
## 5. Deliver
Present the final report. You REPORT; you never edit, patch, or fix code.
Source provenance
Decision snapshot
9,582 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for security-audit, ready for a manual X post.
security-audit: Audit a codebase or directory for security issues (hardcoded secrets, injection, unsafe deser... 9.6K stars https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x
Listing + install path for security-audit: https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=x Install: npx skills add omnigent-ai/omnigent --skill security-audit
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to omnigent-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit/audit)
[](https://www.openagentskill.com/skills/omnigent-ai-security-audit?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)omnigent-ai
@omnigent-ai
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Review then install
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness