BC unified-session
Unify all chat channels into one shared AI session for seamless cross-device continuity. Start a conversation on your laptop, continue from your phone — same context, same memory, zero loss. Use this skill whenever: - User wants multiple messaging channels (DingTalk, Feishu/Lark, Telegram, Discord, WhatsApp, Signal, Slack, webchat) to share one conversation - User mentions "shared session", "cross-device", "multi-channel", "unified session", "continue conversation", "seamless", "context lost", "memory lost", "上下文丢失", "记忆丢失", "多端共享" - User says their bot "forgets" what was said when they switch from one app to another - User asks how to make Telegram/Discord/DingTalk/Feishu/WhatsApp share context with webchat - User wants to switch between desktop and mobile without losing conversation history - User mentions dmScope, session routing, channel isolation, or session merging - User describes wanting to pick up where they left off on a different device or chat app - User complains about having separate conversations on each channel when they only have one agent - Even if the user doesn't use technical terms — if they describe the pain of "switching apps and the AI doesn't remember", this is the skill to use
As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- Shorten the description to 1024 characters.
- 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 · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1223 chars, limit 1024
Process rating: all ten parameters 63/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 21 steps
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1758 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 17 top-level sections: this looks like several domains in one skill
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1222: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -220 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 10 example trigger phrases
- +4Structure: 24 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.