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 huaweicloud/huaweicloud-skills --skill huawei-cloud-waf-log-analysisgit clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsWrote 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/huaweicloud/huaweicloud-skills/huawei-cloud-waf-log-analysis)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-waf-log-analysis"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-waf-log-analysis/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/huaweicloud/huaweicloud-skills/huawei-cloud-waf-log-analysis"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-waf-log-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00128 | $0.10619 |
| Opus 5.5 | $0.00051 | $0.04248 |
| Sonnet 5.5 | $0.00026 | $0.02124 |
| Haiku 4.5 | $0.00013 | $0.01062 |
Grade A, and why
huawei-cloud-waf-log-analysis scanned grade A with 1 finding 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 1mo 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.
Unrestricted tool accesslowExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
1. Execute any command that creates, modifies, or deletes WAF resources Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 830 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud WAF Security Event Log Analysis
Overview
This skill provides read-only analysis of Huawei Cloud WAF (Web Application Firewall) security event logs. It queries attack event data through hcloud CLI, performs multi-dimensional aggregation and analysis, and generates actionable protection rule recommendations based on observed attack patterns.
Key Capabilities:
- Query and filter security events by attack type, source IP, target domain/URL, time range, and geography
- Aggregate statistics by attack category, source IP frequency, geographic distribution, and time trends
- Recommend specific WAF protection rules (precise access control, CC protection, IP blacklist/whitelist, geo-blocking) based on analyzed attack characteristics
Applicable Scenarios:
- Daily security patrol and attack posture review
- Incident response after receiving WAF alerts
- Periodic security reports (weekly/monthly attack trends)
- Anomaly investigation when suspicious activity is detected
- Protection hardening decisions after attack events
⚠️ Read-Only Principle — STRICTLY ENFORCED
This skill is a READ-ONLY analysis skill. The agent must follow these rules without exception:
| Action | Allowed? | Explanation |
|---|---|---|
Query events (ListEvent, ShowEvent) |
✅ YES | Read-only data retrieval |
Query policies/hosts (ListPolicy, ShowPolicy, ListHost) |
✅ YES | Read-only data retrieval |
| Aggregate and analyze event data | ✅ YES | Core analysis work |
| Output recommended hcloud commands | ✅ YES | Provide copy-paste ready commands for the user |
Execute Create* / Update* / Delete* commands |
❌ NEVER | These modify production resources; the user decides when and whether to run them |
| Auto-execute any write operation based on analysis findings | ❌ NEVER | Even if the recommendation seems obvious, do NOT run it |
What the agent MUST do:
- Perform read-only queries and analysis
- Generate a structured report with prioritized recommendations
- For each recommendation, output the exact, copy-paste ready hcloud command that the user can execute themselves
- Clearly label each command with its purpose and expected effect
What ships with it
6 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.
- 1mo ago First seen · 830 lines · 128 tokens per session scan A 120a5a4942e7
huawei-cloud-waf-log-analysis is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 128 tokens to every session and 10,619 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-24.
Other skills, from other repositories
analyzing-linux-system-artifacts
Examine Linux system artifacts (auth logs, cron/systemd persistence, shell history, SSH keys, and system configuration) to uncover evidence of compromise, detect rootkits or backdoors, and reconstruct user/attacker activity. Use when investigating a compromised Linux server or workstation, hunting for persistence…
implementing-api-gateway-security-controls
Implements security controls at the API gateway layer including authentication enforcement, rate limiting, request validation, IP allowlisting, TLS termination, and threat protection. The engineer configures API gateways (Kong, AWS API Gateway, Azure APIM, Apigee) to act as a centralized security enforcement point…
securing-api-gateway-with-aws-waf
Securing API Gateway endpoints with AWS WAF by configuring managed rule groups for OWASP Top 10 protection, creating custom rate limiting rules, implementing bot control, setting up IP reputation filtering, and monitoring WAF metrics for security effectiveness.
analyzing-linux-system-artifacts
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
implementing-cloud-trail-log-analysis
Implementing AWS CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.
performing-log-analysis-for-forensic-investigation
Collect, parse, and correlate system, application, and security logs to reconstruct events and establish timelines during forensic investigations.