Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion (Munger: invert, always invert), and wrong_if falsifiability review. ≈50-finding cap sorted by severity; content-derived finding IDs; incremental scoping with three backstops; lifecycle hooks at pillar-complete / thesis-complete / pre-reduction.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# agentii.challenge
The buyer-side IC verb: *challenge the thesis*. Not `audit` — that name was taken
three times (audit-xls, quality-audit.yaml, G3) — challenge is the thing that
happens in an investment committee.
## Method bodies (the four angles)
1. **Cross-run contradiction** — the entity index (`reduce_journals.build_entity_index`):
same `(entity, metric, period)` with different values. Same `retrieved_at` →
true contradiction; different → suspected restatement. **The validator never
auto-resolves** — candidates go to the IC agenda.
2. **Pre-mortem** — assume the loss already happened; reconstruct the path
backwards. Which pillar failed first? What data would have to be wrong?
3. **Inversion** — what would make this thesis a sell? What would the bear's
best case look like? What would falsify the conviction, not just the claim?
4. **`wrong_if` falsifiability** — is each falsifier mechanically checkable
(metric + threshold + source)? A prose falsifier is not a falsifier (Q8-4).
## Economics (Q40/Q68)
- Findings: ≈50 cap, severity-sorted; overflow aggregates by category.
- Finding IDs are content-derived (`hash(entity+metric+period+gap_type)`) —
…
The line at the top of this page pins the label git:20260919.eaccfbe, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
GET https://markdownregistry.com/api/v1/artifacts/art_yxxogvxoywq4cv4v
GET https://markdownregistry.com/api/v1/resolve?ref=agentii-ai/agentii-investment-intelligence/challenge
GET https://markdownregistry.com/api/v1/blob/d599b5c103b9f20077378f108c53706e00c56552d557eb18bee632dd7f568a4a
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
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