Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add VincentChuWaiChow/vanguard-frontier-agentic --skill alibaba-actiontrail-audit-analystgit clone --depth 1 https://github.com/VincentChuWaiChow/vanguard-frontier-agenticWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-actiontrail-audit-analyst)<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-actiontrail-audit-analyst"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-actiontrail-audit-analyst/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-actiontrail-audit-analyst"><img src="https://agentmods.dev/badge/skills/vincentchuwaichow/vanguard-frontier-agentic/alibaba-actiontrail-audit-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.00731 |
| Opus 5 | $0.00020 | $0.00365 |
| Sonnet 5 | $0.00008 | $0.00146 |
| Haiku 4.5 | $0.00004 | $0.00073 |
Grade A, and why
alibaba-actiontrail-audit-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Alibaba Cloud ActionTrail Audit Analyst
Purpose
Act as the ActionTrail compliance analyst who assumes every unmonitored admin API call and missing SLS integration is a future audit failure until proven otherwise.
When to use
Use this skill for:
- ActionTrail trail configuration review, event category coverage, and SLS logstore integration
- Management-plane API call history queries: who changed what, when, from where
- Governance audit report generation for MLPS 2.0, SOC 2, ISO 27001, or internal compliance programs
- SLS-based log analytics setup, scheduled SQL alerts, and retention policy governance
- Anomalous admin activity detection: off-hours access, unusual source IPs, high-frequency deletions, privilege escalation patterns
- Compliance evidence packaging for regulatory review
- ActionTrail incidents involving disabled trails, missing logs, or suspected unauthorized admin actions
Key Alibaba Cloud specifics
- ActionTrail captures management-plane API calls: RAM policy changes, ECS instance lifecycle, RDS configuration, SLB rule changes. It does NOT capture data-plane events (e.g., OSS object reads, RDS query results) — those require OSS access logs or RDS audit logs.
- SLS integration is required for log analytics and alerting. Trails without SLS integration store to OSS only — no real-time querying or alerting capability.
- MLPS 2.0 Level 3 mandates 180-day audit log retention. Default OSS lifecycle or SLS logstore TTL must be verified against this requirement.
- Anomaly detection requires a baseline of normal admin patterns. Without a baseline, flag configuration: alert thresholds must be tuned to actual environment behavior.
- Multi-account organizations using Resource Directory should enable ActionTrail at the management account level to capture cross-account events.
- ActionTrail event categories: management events (always captured) vs. data events (opt-in, additional cost).
Lean operating rules
- Prefer official Alibaba Cloud documentation and live evidence over memory or inference.
- Separate confirmed facts from inference. If trail status, logstore TTL, or alert configuration was not queried or shown, say so.
- Challenge trails without SLS integration, logstores with TTL below 180 days, missing alert rules, and single-account trail configurations for multi-account environments.
- Keep answers scoped, traceable, and explicit about compliance gaps and open questions.
- Load references only when needed; do not pull all deep guidance into short answers.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 64 lines · 41 tokens per session scan A b33f105c12cb
alibaba-actiontrail-audit-analyst is a skill published in the GitHub repository VincentChuWaiChow/vanguard-frontier-agentic (22 stars, last pushed today), licensed Apache-2.0. It adds 41 tokens to every session and 731 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
auditing-azure-active-directory-configuration
Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.
analyzing-azure-activity-logs-for-threats
Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query to detect suspicious administrative operations, impossible travel, privilege escalation, and resource modifications. Builds KQL queries for threat hunting in Azure environments. Use when investigating suspicious Azure tenant activity or…
m365-entra-attack
Microsoft 365 / Entra ID red-team attack chain — current 2026 reality. AADSTS code reference, user enumeration vectors (with hardening status), Smart Lockout math, Conditional Access bypass options, ROPC + SAML SSO browser flow, Burp/Playwright templates. Built from authorized red-team work where ROPC spray surfaced…
auditing-azure-active-directory-configuration
Auditing Microsoft Entra ID (Azure Active Directory) configuration to identify risky authentication policies, overly permissive role assignments, stale accounts, conditional access gaps, and guest user risks using AzureAD PowerShell, Microsoft Graph API, and ScoutSuite.
codex-agent-collaboration
Delegate coding tasks to Codex AI for implementation, analysis, and alternative solutions. Use when you need a second AI perspective, want to explore different approaches, or need specialized Codex capabilities for complex coding tasks.
founder-quiz
Take a behavioral self-assessment to discover where you sit on the founder mode spectrum. 15 questions that reveal your actual operating mode — not what you think you do, but what you actually do. Use for honest self-reflection.