SKILLEMALL.ai

BF dalio-macro-analysis

This skill applies Ray Dalio's macro analysis framework to analyze global economic conditions, investment allocation, and geopolitical risks. Updated to 2026: covers Dalio's latest views on China-US great power competition, gold/BTC as reserve assets, US debt spiral risk, and deglobalization. Triggers: 达利欧框架, 五大力量分析, 宏观分析, 全天候组合, 债务周期, 大国博弈, 货币周期, 滞胀分析, 地缘风险, Dalio macro, 原则, Bridgewater, 宏观经济, 美联储, 去全球化.

ClawHub Agent Skills author: lingfeng-19 v5.1.3 MIT-0 2 files body ≈ 3 839 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 33/100 · Will not run — References files that are not bundled: references/five_forces_framework.md, references/debt_cycle_guide.md, references/dalio_2026_views.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
F
33/100
Will not run
References files that are not bundled: references/five_forces_framework.md, references/debt_cycle_guide.md, references/dalio_2026_views.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: 2. 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/five_forces_framework.md
  • warning missing-ref reference to a missing file: references/debt_cycle_guide.md
  • warning missing-ref reference to a missing file: references/dalio_2026_views.md
  • warning missing-ref reference to a missing file: scripts/macro_analyzer.py
  • note frontmatter-key unknown frontmatter key "slug"

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/five_forces_framework.md, references/debt_cycle_guide.md, references/dalio_2026_views.md
  • 0Tools and files. 4 referenced file(s) missing: references/five_forces_framework.md, references/debt_cycle_guide.md, references/dalio_2026_views.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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 100Steps. 65 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3839 tokens

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 408: enough signal without eating the budget
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 65 items
  • +4Has examples (9 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This is a markdown-only macro investing framework skill with no code execution, credential access, persistence, or hidden system behavior found.
LLM: benign (high) · VirusTotal: · 7 Sept 2026