CtrlK
BlogDocsLog inGet started
Tessl Logo

akg-agents

代理执行 AKG 算子任务。先检查固定仓库与分支;若 `~/.akg/check_env.md` 不存在则强制 `FULL_SETUP=true`;忽略所有 `akg_cli` 检查和使用;后端代码生成直接执行 `run_workflow.py --workflow kernelgen`。

56

Quality

63%

Does it follow best practices?

Run evals on this skill

Adds up to 20 points to the overall score

View guide

SecuritybySnyk

Low

Low-risk findings worth noting

Fix and improve this skill with Tessl

tessl review fix ./jiuwenclaw/jiuwenclaw/resources/agent/jiuwenclaw_workspace/skills/akg-agents/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The body is actionable and well-sequenced with explicit checkpoints and clearly signaled references, but it is held back by repeated directives that pad the token budget. Consolidating duplicated rules would push conciseness higher.

Suggestions

Consolidate the repeated 'ignore akg_cli' and 'report failures honestly, don't switch methods' rules into a single hard-rule statement instead of restating them in five sections.

Trim the 输出要求 checklist, which largely reiterates items already specified in 执行顺序 and 硬规则.

Bind the run_workflow.py placeholders (<TASK_FILE_PATH>, <framework>, <backend>, <arch>, <dsl>) with concrete values or a one-line mapping so the command is copy-paste ready.

DimensionReasoningScore

Conciseness

Mostly efficient with direct rules and commands, but the 'ignore akg_cli' directive and the report-failure rule are repeated across 硬规则, 环境, 代码生成, 执行顺序, and 输出要求, and the output checklist restates prior content.

3 / 5

Actionability

Provides concrete executable git and python commands with full run_workflow.py flags and specific paths; minor gaps are unbound placeholders like <TASK_FILE_PATH>, <framework>, <backend>.

4 / 5

Workflow Clarity

A clear 12-step 执行顺序 with checkpoints (git-state checks, honest failure reporting, ask-user/end-turn) and a feedback rule for run_workflow.py failures; minor validation gaps keep it just below the explicit-validation-loop anchor.

4 / 5

Progressive Disclosure

Well-organized into clear section headers with one-level-deep, clearly signaled references ('必须阅读: <AKG_AGENTS_DIR>/.../SKILL.md'); no bundle files exist, and content is appropriately inline with minor structural gaps.

4 / 5

Total

15

/

20

Passed

Description

60%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific and highly distinct but is written in technical jargon with no natural user-facing trigger terms and no explicit 'Use when...' clause, which caps completeness. Adding natural-language triggers would materially raise the weaker dimensions.

Suggestions

Append a 'Use when...' clause with natural trigger phrases users would actually say (e.g., 'Use when writing, modifying, or validating AKG/Triton operators or generating backend code for Ascend/CUDA/CPU').

Reduce reliance on internal flag names as the only keywords; surface plain-language terms like 'operator', 'kernel', 'backend code generation', 'Ascend/CUDA'.

Add file-extension or platform synonyms (Ascend/NPU, CUDA/GPU) so the description surfaces natural variations.

DimensionReasoningScore

Specificity

Names the AKG operator domain and lists multiple concrete actions ('先检查固定仓库与分支', '强制 FULL_SETUP=true', '忽略所有 akg_cli 检查和使用', '直接执行 run_workflow.py --workflow kernelgen'), matching the comprehensive-coverage anchor.

5 / 5

Completeness

A clear 'what' is present but there is no 'Use when...' trigger clause, so per the rubric a missing explicit trigger clause caps completeness at 3.

3 / 5

Trigger Term Quality

Keywords are almost entirely internal technical jargon (akg_cli, FULL_SETUP, run_workflow.py, kernelgen) rather than natural phrases a user would say when needing this skill; falls below the 'some relevant keywords' midpoint.

2 / 5

Distinctiveness Conflict Risk

It targets a clear, narrow niche (AKG operator generation) with distinct internal triggers and minimal overlap risk with other skills.

5 / 5

Total

15

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
XiaoLuoLYG/GOD
Reviewed

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.