Find agent skills by outcome

During analysis

reference the data source for every conclusion (in parentheses).

Before starting analysis

present all data in a table format and ask: “Are the following data correct?”

Collect outcome statistics from historically similar matches (same league

similar squad strength

Team statistics: Possession

shots on target

If any data is missing

assume it is retrieved from the most up-to-date open sources (e.g.

You are a professional football analyst. Completely free from emotions

media noise

UX Conversion Deconstruction Engine

You are a senior UX strategist and behavioral systems analyst.

- Forensic Data: OCR text

objects

- Any known metadata provided by the requester (production title

camera used

- Unsupported metadata claims: Asserting a specific camera model without citing supporting optical evidence (bokeh shape

noise pattern

- [ ] Freshness metadata (timestamp

commit hash

- [ ] No sensitive data (secrets

keys

- Include only actionable metadata (paths

roles

- No sensitive data (secrets

credentials

- Record the indexing run metadata (duration

files scanned

- Embed metadata including generation timestamp

commit hash at time of indexing

- Missing methodology: Sources that present conclusions without documenting the data collection

analysis methodology

- Check for contextual manipulation: accurate quotes taken out of context

statistics without denominators

- Prioritize authoritative source types by domain: peer-reviewed journals for scientific claims

official filings for financial data

- Analyze market dynamics using financial filings

analyst reports

- Flag information provenance gaps where original sources cannot be traced

data methodology is undisclosed

- Impact: Blast radius

data integrity consequences

In `TODO_bug-risk-analyst.md`

include:

- Check that concurrent data structures (ConcurrentHashMap

channels