AC douyin-mini-game-server-api
Comprehensive skill reference for Douyin (TikTok China) mini-game server-side OpenAPI. Covers HTTPS API interfaces for backend developers — access token management, login credential verification, user data storage, QR code generation, subscription messages, gift redemption, Link/Schema generation, dynamic sharing, game group tags, and all server-side `mgplatform/api` endpoints. Use when developing, debugging, or asking questions about Douyin mini-game backend APIs — especially the server-side login flow (code2Session/checkSessionKey/resetSessionKey), access token (getAccessToken/genStableAccessToken), user cloud storage (setUserStorage/removeUserStorage), QR codes (createQRCode), subscription notifications, gift reward verification, or any OpenAPI SDK integration.
Comprehensive skill reference for Douyin (TikTok China) mini-game server-side OpenAPI.
As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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-high-entropy-tokenreferences/server-login.md:205High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"openid": "_000…-F3",
quoted
Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 51/100
- 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. 3 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1123 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
- +1No license
- +2Single-language instructions
- +3Description length 774: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (7 of 7)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.