BF content-creator-pro
Autonomous content creation engine for agents. Writes platform-native posts, threads, newsletters, and long-form articles that meet the highest standards of authentic human writing. Masters hooks, storytelling, and brand voice across Twitter/X, LinkedIn, Reddit, Substack, and short-form video. Applies professional editorial craft to ensure every piece reads with genuine voice and natural rhythm. Tracks performance, learns what works, and improves every week. Triggered by agent-shark-mindset signals. Feeds acquisition-master with ready-to-publish content. Use whenever the agent needs to write or queue content for any channel.
As a process F 29/100 · Will not run — References files that are not bundled: references/human_writing.md
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 0
✓ No critical or high findings
Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 6761 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/human_writing.md
Process rating: all ten parameters 29/100
- 0Tools and files. 1 referenced file(s) missing: references/human_writing.md
- 0Steps. Prose only: no discrete steps
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 8 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 6761 tokens
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- low 13 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 632: enough signal without eating the budget
- +4Structure: 37 headings
- +4Has examples (27 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.