Install
$ agentstack add skill-tencent-ai-infra-guard-owasp-asi ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
OWASP ASI Classification Framework
OWASP Top 10 for Agentic Applications 2026 - Standardized risk classification for AI agent security.
Risk Categories
| ID | Risk Type | Key Indicators | |:---|:----------|:---------------| | ASI01 | Agent Goal Hijack | Prompt injection, instruction override, goal manipulation | | ASI02 | Tool Misuse & Exploitation | Unauthorized tool calls, parameter tampering, unvalidated inputs | | ASI03 | Identity & Privilege Abuse | Auth bypass, permission escalation, missing authorization | | ASI04 | Agentic Supply Chain | Malicious dependencies, compromised tools, package poisoning | | ASI05 | Unexpected Code Execution | RCE, command injection, code evaluation | | ASI06 | Memory & Context Poisoning | Data leakage, context manipulation, memory corruption | | ASI07 | Insecure Inter-Agent Comm | Unencrypted channels, data exposure between agents | | ASI08 | Cascading Failures | Error propagation, chain reaction vulnerabilities | | ASI09 | Human-Agent Trust Exploit | Social engineering, deceptive responses | | ASI10 | Rogue Agents | Malicious agent behavior, unauthorized actions |
Detection Source → ASI Mapping
| Detection Source | Type | Primary ASI | Secondary ASI | |:-----------------|:-----|:------------|:--------------| | data-leakage-detection | Skill | ASI06, ASI07 | ASI01, ASI03 | | tool-abuse-detection | Skill | ASI02, ASI05, ASI07 | ASI03 | | indirect-injection-detection | Skill | ASI01 | ASI06 | | authorization-bypass-detection | Skill | ASI03 | ASI09 | | Prompt Injection tests | Dialogue | ASI01, ASI06 | ASI09 | | Code Audit | Agent | ASI04, ASI05 | ASI10 |
Finding → ASI Mapping
| Finding Type | ASI Category | Rationale | |:-------------|:-------------|:----------| | API keys, tokens | ASI06 | Context contains sensitive data | | System prompts | ASI01 | Enables goal hijacking | | Credentials | ASI03 | Identity abuse risk | | Internal configs | ASI04 | Supply chain exposure | | PII exposure | ASI07 | Inter-agent data leak | | Command injection | ASI05 | Unexpected code execution | | Unauthorized tool calls | ASI02 | Tool misuse |
Severity Classification
Critical 🚨
- Complete private keys exposed
- Production credentials with unrestricted access
- Remote code execution confirmed
- Full agent takeover possible
Action: Immediate remediation (within 24 hours)
High ⚠️
- API keys with limited scope
- Authentication tokens
- System prompt disclosure
- Partial credential exposure
Action: Urgent remediation (within 1 week)
Medium 💡
- Configuration details
- Internal endpoints
- Metadata leakage
- Conditional exploitation paths
Action: Address within 2-4 weeks
Low ℹ️
- Generic system information
- Non-sensitive configurations
- Indirect hints
Action: Review as time permits
Usage
Load this skill when performing OWASP ASI classification:
load_skill(name="owasp-asi")
Then apply the mapping rules to classify findings.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Tencent
- Source: Tencent/AI-Infra-Guard
- License: Apache-2.0
- Homepage: https://tencent.github.io/AI-Infra-Guard/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.