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BC us-undervalued-growth-screener

Autonomously screen NYSE, Nasdaq, and NYSE American operating-company stocks for undervalued-growth/GARP opportunities using forward same-basis valuation, driver-derived EPS/FCF forecasts, primary-source financial verification, SBC and dilution controls, sector and cycle normalization, auditable candidate-pool coverage, and fail-closed final reporting. Use when asked to find, screen, rank, or refresh US undervalued-growth stocks, including minimal requests with no ticker list or parameters.

tradermonty/claude-trading-skills Agent Skills author: tradermonty 63 files · 29 scripts body ≈ 9 496 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Autonomously screen NYSE, Nasdaq, and NYSE American operating-company stocks for undervalued-growth/GARP opportunities using forward same-basis valuation…

As a process C 59/100 · Has gaps — References files that are not bundled: scripts/fmp_client/

ProcedureData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
59/100
Has gaps
References files that are not bundled: scripts/fmp_client/
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-autorun-instruction references/autonomous-execution.md:82
    Instructs the agent to auto-run a script on every session (documentation of a security skill)
    Always execute `screen_universe.py`. Preserve its decisions and requirements. The LLM may explain a decision but must not replace it with an informal gate.
    security skill

Files scanned: 63. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9496 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/fmp_client/

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: scripts/fmp_client/
  • 0Tools and files. 1 referenced file(s) missing: scripts/fmp_client/
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 7 mutating operations with no state check
  • 40Execution cost. Instruction body is 9496 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 129 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 15 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
  • -33 of 15 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 495: enough signal without eating the budget
  • +4Structure: 46 headings
  • +3Step-by-step instructions: 129 items
  • +3Output format is stated explicitly
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (15 of 22)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.