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BF revelata-deepkpi

Financial and operational KPI research for US public companies using Revelata deepKPI. Pulls SEC metrics (10-K/10-Q/8-K): segments, unit KPIs (stores, comps, ARPU, users), statements, cash flow; filing markdown and verbatim quotes via retrieve-sec-filing; implied Q4/per-unit, seasonality, Excel. For "pull data", historicals, "find the KPI", seasonality, .xlsx, filing excerpts. Also: analyst-report-pressure-test (analyst PDF vs SEC HTML); peer-benchmark (peers, comps, benchmark, similar companies—operating, vertical-first); idea-generation-survey ("what should I invest in?", new ideas, interesting companies—no ticker); company-summary-segments (what cos do, segments, thematic discovery). OpenClaw: deepkpi-api.

ClawHub Agent Skills author: sjt-at-revelata v1.0.21 MIT-0 17 files body ≈ 2 131 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 40/100 · Will not run — References files that are not bundled: references/html-template.md, references/chart-patterns.md, references/sector-kpi-map.md

IntegrationExcelData 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
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: references/html-template.md, references/chart-patterns.md, references/sector-kpi-map.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 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: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/html-template.md
  • warning missing-ref reference to a missing file: references/chart-patterns.md
  • warning missing-ref reference to a missing file: references/sector-kpi-map.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: references/html-template.md, references/chart-patterns.md, references/sector-kpi-map.md
  • 0Tools and files. 3 referenced file(s) missing: references/html-template.md, references/chart-patterns.md, references/sector-kpi-map.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 43Steps. 2 steps, 3 vague phrases
  • 50When it triggers. No condition that starts the skill
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2131 tokens
  • 100Running it twice. No mutating operations

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

  • +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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 718: enough signal without eating the budget
  • +4Structure: 5 headings

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: clean
This is a disclosed finance research skill that uses Revelata deepKPI APIs and can create report files, with no evidence of hidden, destructive, or unrelated behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026