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BF financial-investment-banking

Investment banking productivity tools: client and market insights, deck creation, financial analysis, and transaction management

ClawHub Agent Skills author: paudyyin v1.0.0 MIT-0 3 files body ≈ 5 623 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Investment banking productivity tools: client and market insights, deck creation, financial analysis, and transaction management

As a process F 32/100 · Will not run — References files that are not bundled: reference/formatting-standards.md, reference/slide-templates.md, reference/xml-reference.md

ProcedurePowerPointExcelSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
76/100
safety, quality, tests
Safety 60%
100
Quality 40%
39
Run on models
none yet
Process rating
F
32/100
Will not run
References files that are not bundled: reference/formatting-standards.md, reference/slide-templates.md, reference/xml-reference.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 0. 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: Investment banking productivity tools: client and market insights,… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5623 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: reference/formatting-standards.md
  • warning missing-ref reference to a missing file: reference/slide-templates.md
  • warning missing-ref reference to a missing file: reference/xml-reference.md
  • warning missing-ref reference to a missing file: reference/calculation-standards.md
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 32/100

Will not run. References files that are not bundled: reference/formatting-standards.md, reference/slide-templates.md, reference/xml-reference.md
  • 0Tools and files. 4 referenced file(s) missing: reference/formatting-standards.md, reference/slide-templates.md, reference/xml-reference.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 13 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 70Execution cost. Instruction body is 5623 tokens
  • 85Steps. 154 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 128: enough signal without eating the budget
  • +4Structure: 67 headings
  • +3Step-by-step instructions: 154 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 39.

External checks

ClawHub: clean
This skill provides investment-banking workflow guidance and deck-building help, with limited local file/tool use that fits its stated purpose.
LLM: benign (high) · VirusTotal: · 19 Jun 2026