SKILLEMALL.ai

AC imc-publish

Publish posts, images, and videos to your connected social channels (Instagram, TikTok, Facebook, YouTube, LinkedIn, Threads, Google Business, Telegram) through the InstallMyClaw workspace. Use when the user wants to publish, schedule, or check the status of social media content — including videos they just generated with an AI video tool. Triggers: "publish", "post to", "发布", "发帖", "schedule a post", platform names.

ClawHub Agent Skills author: TAN JUN WEI v1.0.6 MIT-0 7 files · 2 scripts body ≈ 1 657 tokens Open the sourceclawhub.ai analyzed 26 h ago

Publish posts, images, and videos to your connected social channels (Instagram, TikTok, Facebook, YouTube, LinkedIn, Threads, Google Business, Telegram)…

As a process C 61/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureTelegramYouTubeMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
61/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: Publish posts, images, and videos to your connected social channel… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "repository"

    Process rating: all ten parameters 61/100

    • 0Result and completion. Does not say what the result is
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 24 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 13 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1657 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 420: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 13 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    The publishing workflow is mostly disclosed and confirmation-gated, but the built-in updater can replace installed skill code from a moving GitHub branch without integrity checks.
    LLM: suspicious (high) · 4 Aug 2026