Cui Bono: Power Structure Analysis

Quick Protocol

1. Framework Clarification (ALWAYS FIRST)

Before investigation, establish user's framework:

• Weighting: Which concerns weigh heaviest? (weapons > labor > environment, or different?)
• Thresholds: Absolute dealbreakers or graduated "least problematic" assessment?
• Imperial Definition: Which actors count? (US/NATO only? Include China, Russia? All major powers?)
• State Ownership: Treat as neutral, positive, or negative?

Do not assume. Ask explicitly.

2. Claims → Contradictions → Resolution → Second Antithesis

For each relevant lens:

CLAIMS: Document entity's self-presentation and consensus narrative.

CONTRADICTIONS (four methods):

• Direct: Search adversarial sources for counter-evidence
• Deductive: "If claims true, X must exist" - verify X exists
• Falsification: "What would disprove this?" - search for it
• Standpoint: What do workers/communities/affected parties say?

RESOLUTION: What's actually true given both? (Not "who wins")

SECOND ANTITHESIS (after resolution): Apply externality framing to the resolution itself:

• Who bears costs? The entity generating output may not bear its costs.
• Who captures benefits? Surplus may flow elsewhere than claimed.
• What's multiplied? Systems often multiply existing asymmetries, not create new value.

Example (from vibe coding research): Even if AI coding tools work, who pays the maintenance cost? 12:1 contributor-to-maintainer time ratio means externalized burden.

2a. Symmetric Beneficiary Mapping (MANDATORY)

Map beneficiaries of EVERY side of EVERY claim — including the debunking/correction narrative.

When investigating a claim, the natural bias is to apply cui bono to the claim while treating the rebuttal side as neutral arbiters. This is asymmetric skepticism — the most persistent flaw identified in application (see proof-of-life postmortem, March 2026: recurred three times at increasing meta-levels).

For each claim AND its rebuttal:

• Who benefits from this narrative being accepted?
• What institutional incentives exist? (fact-checking industry benefits from clear-cut debunks)
• Is the "neutral" source an interested party? (e.g., domestic media covering their own head of state)
• Do "independent" sources share methodology, cite each other, or operate within the same ecosystem? Convergence of conclusion does not equal independence of assessment.

The principle: Separate methodology from institution. Procedures are evaluated by internal validity. Sources are evaluated by stakeholder position. Never confuse the two.

Validated March 2026: Cited domestic media (interested party) and fact-checking ecosystem members (shared methodology pool) as "verification" without mapping their incentive structures. Conclusion was correct; process was flawed.

2b. Unexamined Dichotomy Investigation (MANDATORY)

When an unexamined dichotomy is identified (dead/alive, good/bad, ally/adversary), investigate at least one position between the binary poles.

Do not just note the dichotomy exists — actively investigate the middle. "Is the leader injured, incapacitated, or operating under constraints?" is a more productive question than "Is he dead or alive?"

The middle ground is often where the actual story lives.

3. Evidence Quality

Evidence is tiered by independence from interested parties, not by authority of source.

Critical distinction: "Who said it" is metadata about the evidence, not the evidence itself. Evidence-structure tiering replaces authority-based tiering.

3a. Source Topology Mapping (MANDATORY)

Before claiming "multiple sources confirm," map citation and dependency chains to identify actual independent evidence nodes vs downstream amplifiers.

[Evidence Node A] → [Downstream 1] → [Downstream 2]
                  → [Downstream 3]

[Evidence Node B] → [Downstream 4]  ← GENUINELY INDEPENDENT

"5 sources confirm" may actually be 2 evidence nodes + 3 amplifiers.

Source topology reveals:

• How many actual independent evidence nodes exist (vs. downstream echoes)
• Whether "convergence" is genuine independence or ecosystem echo
• Single points of institutional failure in the evidence chain
• Where a single expert or briefing propagated through an entire ecosystem

3b. Expert Stakeholder Mapping (MANDATORY)

Any expert citation must include:

This does not invalidate expert analysis — published, peer-reviewable methodology is strong evidence regardless of who developed it. But "world's top expert confirms X" carries different epistemic weight when the expert runs a company that sells exactly this service.

4. Symmetric Multi-Polar Analysis

Apply same standards to ALL power poles:

• Western: Dollar hegemony, NATO integration, IP extraction
• Chinese: BRI dynamics, Xinjiang exposure, state enterprise integration
• Russian: Energy leverage, sanctions position, oligarch connections
• Regional: Gulf state ties, Israeli tech, Turkey/India/Brazil positioning

The question is not "which pole is worse" but "what power structures does this entity serve, and what are the documented harms?"

Recursive authority contamination warning: The asymmetric skepticism error tends to reassert itself at every new layer of analysis — even after correction. This is likely a persistent pattern in LLM reasoning about institutional sources, rooted in training data over-representation of Western institutional authority. Encode symmetric skepticism as a structural check, not a one-time reminder.

4a. Recursive Debiasing Check

The asymmetric skepticism error reasserts at each meta-level. A one-time correction is insufficient — the correction itself can carry the same bias. Run this check after completing the multi-polar analysis:

FOR EACH power pole assessed:
  1. Count evidence items cited (supporting AND critical)
  2. Count source diversity (how many distinct sources?)
  3. Note evidence tier distribution (VERIFIED/CREDIBLE/ALLEGED/SPECULATIVE)
  4. Note skepticism direction (skeptical OF the pole, or skeptical of CLAIMS ABOUT the pole?)

Asymmetry test: Compare the counts across poles. If one pole has 3x more critical evidence cited but similar source diversity, the analysis may be applying asymmetric scrutiny — not because evidence doesn't exist, but because training data surfaces Western-institutional criticism more readily.

If asymmetry detected:

1. Explicitly search for equivalent evidence about under-scrutinized poles (search in their languages if possible — principle 5)
2. Re-run the analysis for the over-scrutinized pole asking: "Which of these criticisms would I apply equally to [other pole]?"
3. Note in output: "Debiasing pass applied — [what changed]"

Meta-check (the recursive part): After debiasing, ask: "Did my debiasing itself introduce a new bias?" Common failure modes:

• Over-correcting into false equivalence ("both sides" when evidence IS asymmetric)
• Debiasing only the direction you're trained to notice (Western criticism of China) while missing the reverse (Chinese criticism of the West, which may also carry institutional bias)
• Treating the debiasing check as complete after one pass (it's recursive — if the meta-check surfaces a concern, run it again)

Exit criterion: The meta-check yields no new asymmetry concerns, OR you've explicitly noted the remaining asymmetry and why it's genuine rather than analytical artifact.

5. Output Structure

**Analyst Positioning**: [standpoint, potential blind spots]
**Framework Applied**: [user's stated priorities]

**[Lens] Assessment**:
[Findings with evidence quality markers]

**Emergent Pattern**: [visible only through combination]
**Unresolved Contradictions**: [where evidence conflicts]

**Overall**:
If [priority A] highest: [conclusion + trade-off]
If [priority B] highest: [different conclusion]

**Residual Uncertainty**: [what would resolve it]

Named Techniques

ACH (Analysis of Competing Hypotheses): Work ACROSS evidence matrix. Focus on disconfirmation. Evidence consistent with all hypotheses has zero diagnostic value.

Contradiction Analysis: Identify principal contradiction (decisive one). Which side's development determines resolution?

Bulletproofing: Data supports story, never reverse. Prosecutorial cross-examination. Multiple verification paths.

Hypothesis-Based Inquiry: Story is hypothesis until verified. Willingness to abandon when contradicted.

Language/Power Analysis: Examine what ideological work terminology does. When corporate frameworks import nation-state language:

• MFN provisions ("Most Favored Nations"): Trade treaty terms applied to platform contracts.
• Protocol/standard: Technical neutrality language masking power concentration.
• Consent: Legal term imported where power asymmetry makes meaningful consent impossible.

External Data Sources

Before relying on any external data source, check SOURCE_CLASSIFICATIONS.md:

• BANNED: Don't use (e.g., Candid - governance capture)
• PENDING: Apply assessment framework before relying on
• ASSESSED: Documented limits, use appropriately
• GAP: Would be valuable but no convenient access

Key Principles

1. Material Reality First: Follow the money, not the marketing. Revenue sources reveal true business models.

2. No False Neutrality: "All states are equally problematic" ignores documented differences. But also: "Western states are fundamentally different" ignores documented Western harms.

3. Graduated Assessment: Avoid binary pass/fail. Articulate trade-offs. "Least problematic" when no clean options exist.

4. Epistemic Humility: Distinguish verified from alleged from speculated. Note source motivations. Acknowledge what you can't know.

5. User Framework Primacy: Apply THEIR priorities, not analyst preferences. Make weighting explicit.

6. Access Asymmetry IS the Business Model: Every tool, framework, and methodology should be evaluated — does it collapse access asymmetry or reinforce it?

7. Tools Aren't What They Claim: For any external methodology: (a) What can it actually DO? (b) What was it INTENDED for? (c) What can we MAKE it do — including against its creators?

8. Separate Procedures from Institutions: Procedures are evaluated by internal validity. Sources are evaluated by stakeholder position. Never confuse the two.

9. If a framework assumes who the disinformator is, it is not a debiasing method. It may still be useful — as a captured weapon, not a neutral instrument.

Budget Mode

Pass --budget to reduce dialectic depth and detail levels. Auto-activates if budget-mode skill is active in session.

Cross-References

• stonk agent — composes this skill with financial MCP tools for investment analysis
• dialectic-spiral — standalone generative dialectic for contradiction analysis + second antithesis
• negative-dialectical-spiral agent — holds contradictions open instead of resolving; maps conceptual remainder
• text-deconstruction — finds where institutional documents undermine themselves on their own terms
• deep-investigation-protocol — broader methodology; see DIP's "When to Use DIP vs cui-bono" table
• adversarial-critic agent — runs the dialectic spiral against investigation findings
• manufactured-consensus-detection — test whether source agreement is genuine or manufactured
• source-omission-analysis — map what each perspective is silent about

Vasana

A vasana is a pattern that persists across unrelated contexts. If during this task you notice such a pattern emerging, it may be worth capturing. This skill works best alongside the vasana skill and vasana hook from the Vasana System plugin.

Modify freely. Keep this section intact.