BF resume-rocket
AI 简历火箭 — 一键把你的简历改写成目标 JD 的满分匹配版，可选对接 Boss 直聘自动投递。输入旧简历 + 目标岗位 JD，输出「高命中改写版 + 匹配度评分 + 面试话术卡」。春招/秋招/跳槽必备。
As a process F 35/100 · Will not run — References files that are not bundled: assets/pay-alipay.jpg, assets/pay-wechat.jpg
ProcedureWordData and analyticsAI and agentstype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- The text references files that are not there: add them or drop the references.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-password-literalDAY2-REPORT.md:61Hard-coded password / key literal (may be an example)- 阿里百炼：https://bailian.console.aliyun.com/?apiKey=… （5 分钟申请，每天 7000 万 token 免费）
Files scanned: 23. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 104 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - warning
missing-refreference to a missing file: assets/pay-alipay.jpg - warning
missing-refreference to a missing file: assets/pay-wechat.jpg - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "pricing" - note
frontmatter-keyunknown frontmatter key "entry" - note
frontmatter-keyunknown frontmatter key "requires" - note
frontmatter-keyunknown frontmatter key "dependencies_skills"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: assets/pay-alipay.jpg, assets/pay-wechat.jpg
- 0Tools and files. 2 referenced file(s) missing: assets/pay-alipay.jpg, assets/pay-wechat.jpg
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 100Steps. 47 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 819 tokens
- 100Running it twice. No mutating operations
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 104: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -214 emoji in the instructions: noise for the model
- -32 of 2 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Structure: 20 headings
- +3Step-by-step instructions: 47 items
- +4Has examples (5 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 47.
External checks
ClawHub: error
ClawScan could not complete because the scanner failed before an artifact-backed review could finish.
LLM: (low) · VirusTotal: · 29 May 2026