Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/huaweicloud/huaweicloud-skillsnpx agentmods add skills/huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorerWrote 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-ascend-profiler-db-explorer)<a href="https://agentmods.dev/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorer"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorer/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-ascend-profiler-db-explorer"><img src="https://agentmods.dev/badge/skills/huaweicloud/huaweicloud-skills/huawei-cloud-ascend-profiler-db-explorer.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 | $0.00175 | $0.03575 |
| Opus 5.5 | $0.00070 | $0.01430 |
| Sonnet 5.5 | $0.00035 | $0.00715 |
| Haiku 4.5 | $0.00017 | $0.00358 |
Grade A, and why
huawei-cloud-ascend-profiler-db-explorer 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 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.
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 — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Huawei Cloud Ascend Profiler DB Explorer
Overview
This skill converts natural language questions about profiling data into safe SQL queries for Ascend PyTorch Profiler and msprof databases.
Architecture: Natural Language Input → Intent Recognition → SQL Generation → Database Execution → Result Analysis
Related Skills:
huawei-cloud-msot-msopprof-operator-profiler- Operator performance data collectionhuawei-cloud-ascend-small-model-migrate- Migration workflow that uses profiling analysishuawei-cloud-ascendc-operator-performance-optim- Operator optimization workflow
Architecture Components
This skill involves the following cloud services and components:
- MSProf: Ascend profiling tool for data collection and database management
- SQLite: Database engine for storing profiling data
- Ascend NPU: Target hardware for performance profiling
- msprof_mcp: Tool for executing SQL queries on profiling database
Architecture Diagram:
┌─────────────────────────────────────────────────────────────┐
│ Profiler DB Explorer Skill │
├─────────────────────────────────────────────────────────────┤
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Natural │───▶│ SQL │───▶│ Database │ │
│ │ Language │ │ Generation │ │ Execution │ │
│ │ Input │ │ │ │ │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────┐ │
│ │ Intent │ │ CTE Macro │ │ Result │ │
│ │ Recognition │ │ Templates │ │ Analysis │ │
│ └──────────────┘ └──────────────┘ └──────────────┘ │
└─────────────────────────────────────────────────────────────┘
Use Cases
Typical Problem Scenarios:
What ships with it
5 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 · 409 lines · 175 tokens per session scan A 3c94f9cce3d8
huawei-cloud-ascend-profiler-db-explorer is a skill published in the GitHub repository huaweicloud/huaweicloud-skills (59 stars, last pushed yesterday), licensed MIT. It adds 175 tokens to every session and 3,575 once invoked, about $0.0007 per session on Opus 5.5. 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
accounting-software-selection
Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.
360-feedback-system
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
admin-access-register
Admin account register: system, main and backup admin, seats, plan, 2FA, shared logins and access-review dates, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.
access-matrix
Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.
accounting-audit-system-builder
Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files.
advanced-analytics-dashboard
Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.