FD minimax-music
MiniMax AI 音乐生成技能。使用 MiniMax API 生成歌词、合成歌曲、批量生成样本曲目、支持纯音乐和人声歌曲。可用风格：古风、摇滚、流行、钢琴、催眠等。当用户要求"生成音乐"、"写首歌"、"生成歌词"、"合成歌曲"、"批量生成BGM样本"时触发。
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.
The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.
How to improve
- Remove the critical guard findings (secrets, dangerous commands, hidden instructions): while they stand the skill is blocked and cannot grade above F.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 4
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critical Secrets in code
secret-openai-keyscripts/generate.py:18OpenAI-style API key (quoted — discussed, not commanded)API_KEY = "sk-c…rXM"
quoted
Medium and low: 3
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medium Secrets in code
secret-labelled-tokenscripts/generate.py:18Labelled token / key literal (vendor format unknown — verify it is not a live credential)API_KEY = "sk-c…rXM"
-
low Obfuscation
obf-base64-blobscripts/generate.py:18Long base64-looking blob (quoted — discussed, not commanded)API_KEY = "sk-c…rXM"
quoted -
low Secrets in code
secret-password-literalscripts/generate.py:18Hard-coded password / key literal (may be an example)API_KEY = "sk-c…rXM"
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (minimax-music) differs from the folder (minimax-music-ai)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 11 steps
- 100Execution cost. Instruction body is 1188 tokens
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)
- +3Output format is not stated: the model decides each time
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 131: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (10 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.