BF chanjing-content-creation-skill
蝉镜内容创作聚合技能包。提供凭据管理、TTS 语音合成、声音克隆、数字人口播、对口型、文生图/视频、定制数字人训练、一键成片编排、卡通视频编排等能力。当用户表达"做一个短视频""语音合成""数字人口播""一键成片""卡通视频"等意图时触发。副作用:HTTPS 访问蝉镜 Open API、读写本地凭据文件、下载、ffmpeg/ffprobe 子进程(仅成片链路)、可能打开浏览器引导登录。本 Skill 是路由入口,不直接执行业务;具体能力由子 products/ 与 orchestration/ 承载。
As a process F 39/100 · Will not run — References files that are not bundled: products/chanjing-tts/chanjing-tts-SKILL.md, products/chanjing-tts-voice-clone/chanjing-tts-voice-clone-SKILL.md, products/chanjing-video-compose/chanjing-video-compose-SKILL.md
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 6
✓ No critical or high findings
Medium and low: 6
-
medium Exfiltration
net-redirectable-api-keycommon/base.py:70Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
-
low Secrets in code
secret-high-entropy-tokenproducts/chanjing-avatar/chanjing-avatar-SKILL.md:177High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"audio_man_id": "C-f2…916",
quoted -
low Secrets in code
secret-high-entropy-tokenproducts/chanjing-avatar/chanjing-avatar-SKILL.md:291High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"id": "C-d1…8c9",
quoted -
low Secrets in code
secret-high-entropy-tokenproducts/chanjing-avatar/chanjing-avatar-SKILL.md:301High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"audio_man": "C-f2…916"
quoted -
low Secrets in code
secret-high-entropy-tokenproducts/chanjing-avatar/chanjing-avatar-SKILL.md:376High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)--audio-man-id "C-f2…916" \
quoted -
low Secrets in code
secret-high-entropy-tokenproducts/chanjing-avatar/chanjing-avatar-SKILL.md:396High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)--person-id "C-d1…8c9" \
quoted
Files scanned: 79. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: products/chanjing-tts/chanjing-tts-SKILL.md - warning
missing-refreference to a missing file: products/chanjing-tts-voice-clone/chanjing-tts-voice-clone-SKILL.md - warning
missing-refreference to a missing file: products/chanjing-video-compose/chanjing-video-compose-SKILL.md - warning
missing-refreference to a missing file: products/chanjing-customised-person/chanjing-customised-person-SKILL.md - warning
missing-refreference to a missing file: products/chanjing-text-to-digital-person/chanjing-text-to-digital-person-SKILL.md - warning
missing-refreference to a missing file: references/top-level-runtime-contract.md
Process rating: all ten parameters 39/100
- 0Tools and files. 6 referenced file(s) missing: products/chanjing-tts/chanjing-tts-SKILL.md, products/chanjing-tts-voice-clone/chanjing-tts-voice-clone-SKILL.md, products/chanjing-video-compose/chanjing-video-compose-SKILL.md
- 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
- 50When it triggers. No condition that starts the skill
- 100Steps. 25 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1023 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 253: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 25 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.