AC postsyncer-social-media-assistant
Manages social media through PostSyncer using REST and/or MCP. Use when scheduling, posting, or managing content across Instagram, TikTok, YouTube, X (Twitter), LinkedIn, Facebook, Threads, Bluesky, Pinterest, Telegram, Mastodon. Covers posts (including Reels/video cover images), media library (list, import URLs, delete, multipart file upload), media folders (CRUD), comments with optional `media` attachments, labels, campaigns, and analytics. Accounts must be pre-connected in the PostSyncer app.
As a process C 50/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
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 Exfiltration
net-credential-useSKILL.md:44Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)Use `web_fetch`, `curl`, or any HTTP tool available. Always read `$POSTSYNCER_API_TOKEN` from the environment.
quoted
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "title" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "keywords"
Process rating: all ten parameters 50/100
- 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. 31 mutating operations with no state check
- 40Consistency. Frontmatter name (postsyncer-social-media-assistant) differs from the folder (postsyncer)
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70Execution cost. Instruction body is 4445 tokens
- 100Steps. 35 steps
- 100Failures and branches. 1 branches, has a failure section
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
- +2Single-language instructions
- +3Description length 500: enough signal without eating the budget
- +4Structure: 26 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (36 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.