BF ai-stock-watchdog
Daily monitoring for Indian equity holdings (NSE/BSE) using a documented severity rubric. Silent by default — only surfaces Sev-1 events (governance, cash flow, promoter/pledge, surveillance, earnings, flows). Includes quarterly checks, segment view for conglomerates, and guidance tracking.
As a process F 40/100 · Will not run — References files that are not bundled: URL
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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.
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: 14. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 291 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - warning
body-longSKILL.md body ≈ 5836 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: URL - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "type" - note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "repository" - note
frontmatter-keyunknown frontmatter key "invocation" - note
frontmatter-keyunknown frontmatter key "disclaimer"
Process rating: all ten parameters 40/100
Will not run. References files that are not bundled: URL
- 0Tools and files. 1 referenced file(s) missing: URL
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 9 mutating operations with no state check
- 70Failures and branches. 18 branches
- 70Execution cost. Instruction body is 5836 tokens
- 100Steps. 179 steps
- 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 29 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 291: enough signal without eating the budget
- +4Structure: 59 headings
- +3Step-by-step instructions: 179 items
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.
External checks
ClawHub: clean
This is a coherent stock-monitoring skill that stores portfolio details locally and can run optional scheduled scans, with no evidence of hidden code, credential theft, trade execution, or exfiltration.
LLM: benign (high) · VirusTotal: · 29 May 2026