BF stock-master-hunter
World-first AI Skill fusing Elliott Wave Theory, volume-price dynamics, trend-cycle analysis, and 100-bagger fundamental screening. Captures breakout entry points and identifies 10x/100x potential stocks. Integrates IMA knowledge base, real-time market data, and backtesting.
World-first AI Skill fusing Elliott Wave Theory, volume-price dynamics, trend-cycle analysis, and 100-bagger fundamental screening.
As a process F 48/100 · Will not run — References files that are not bundled: references/ima-integration.md, references/ima-learned.md, examples/example-603256.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 5712 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/ima-integration.md - warning
missing-refreference to a missing file: references/ima-learned.md - warning
missing-refreference to a missing file: examples/example-603256.md - warning
missing-refreference to a missing file: examples/example-hk2513.md - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "agent_created" - note
frontmatter-keyunknown frontmatter key "updated" - note
frontmatter-keyunknown frontmatter key "changelog"
Process rating: all ten parameters 48/100
- 0Tools and files. 4 referenced file(s) missing: references/ima-integration.md, references/ima-learned.md, examples/example-603256.md
- 0Result and completion. Does not say what the result is
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 7 mutating operations with no state check
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5712 tokens
- 85Steps. 88 steps, 1 vague phrases
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 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)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +3Description length 275: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 88 items
- +4Has examples (10 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.