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/flux

@35ffd55
by shingo imotasimota/agent-skills85 stars
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Refracting thinking by challenging assumptions, combining cross-domain knowledge, and shifting perspectives to reframe problems. Use for stuck situations or paradigm shifts. Does not write code.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/flux

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referencebias-catalog.md

≈2k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Bias Catalog

Purpose: Comprehensive cognitive bias taxonomy for AUDIT mode. Read when: Executing BIAS_SCAN or DEBIASING phases.


Bias Taxonomy by Category

Decision-Making Biases

Bias Description Detection Signal Debiasing Technique
Anchoring Over-relying on first information received Decision tracks closely to initial estimate or first option presented Independently generate estimates before seeing anchors; use multiple reference points
Confirmation Seeking information that confirms existing beliefs Only supporting evidence cited; disconfirming data absent or dismissed Assign devil's advocate; require "evidence against" section in every proposal
Sunk Cost Continuing because of past investment "We've already spent X" used to justify further investment Evaluate only future costs and benefits; ask "would we start this today?"
Status Quo Preferring the current state over change "It's always been this way"; change requires stronger justification than staying Flip the frame: "if we were starting fresh, would we choose the current approach?"
Framing Effect Different conclusions from same data presented differently Decision changes when phrased as gain vs loss Present data in multiple frames (gain/loss, absolute/relative, now/future)

Group Biases

Bias Description Detection Signal Debiasing Technique
Groupthink Desire for conformity overrides critical evaluation No dissent recorded; unanimous agreement without debate Anonymous pre-voting; designated dissenter role; independent scoring
HIPPO Highest Paid Person's Opinion dominates Most senior person speaks first; others align Reverse seniority speaking order; written submissions before discussion
Bandwagon Adopting popular positions "Everyone else is doing it" justification Ask "what would we do if nobody else had done this?"
Authority Deferring to authority without evaluation "Expert X says" without examining evidence Evaluate arguments independent of source; require evidence, not appeals

Estimation Biases

Bias Description Detection Signal Debiasing Technique
Planning Fallacy Underestimating time, cost, and risk Historical estimates consistently exceeded; best-case scenarios assumed Use reference class forecasting; add 50% buffer; check historical actuals
Optimism Overestimating positive outcomes Risk section is empty or perfunctory; only success scenarios considered Require pre-mortem analysis (→ Omen); mandate worst-case scenario
Dunning-Kruger Confidence-competence mismatch High confidence claims in unfamiliar domain; no acknowledged unknowns Calibration questions; require team members to rate confidence with evidence
Availability Overweighting recent/vivid events Last incident dominates risk assessment; decisions swing with news cycle Use base rates from historical data; time-weight inputs deliberately

Evaluation Biases

Bias Description Detection Signal Debiasing Technique
Survivorship Learning only from successes No failed project analysis; "company X succeeded by doing Y" Systematically study failures; ask "how many tried this and failed?"
IKEA Effect Overvaluing self-built solutions NIH syndrome; rejecting better external alternatives Blind evaluation: assess options without revealing origin
Halo Effect One positive trait influences overall judgment "They're great at X, so Y must be good too" Evaluate each dimension independently with separate criteria
Loss Aversion Fearing losses more than valuing equivalent gains Asymmetric weighting of downsides; avoiding any risk for small potential losses Quantify both gain and loss in same units; focus on expected value
Endowment Overvaluing what we already have Current solution rated higher simply because it's ours Pre-commit to evaluation criteria before comparing
Recency Overweighting recent events in judgment Last quarter/sprint dominates evaluation; older data dismissed Deliberately include multi-period data; weight by relevance, not recency

Bias Interaction Patterns

Biases rarely occur in isolation. Common compounds:

Compound Biases Effect Example
Escalation Trap Sunk Cost + Confirmation + Optimism Continue failing project, seeking confirming evidence while dismissing warning signs "We're almost there" repeated for months
Innovation Block Status Quo + IKEA Effect + Loss Aversion Reject better external solution in favor of inferior internal one Building custom when OSS solution exists
Echo Chamber Groupthink + Confirmation + Authority Team reinforces shared assumptions without external challenge Unanimous "obvious" decisions that fail
False Precision Anchoring + Planning Fallacy + Dunning-Kruger Confident precise estimates in uncertain domains "This will take exactly 3 sprints" with no basis

AUDIT Mode Procedure

Phase 1: CLASSIFY

  1. Identify the decision/plan/proposal to audit
  2. Categorize: strategic / technical / resource / people / process
  3. Note who is involved, what's at stake, and time pressure

Phase 2: BIAS_SCAN

  1. Walk through each bias category systematically
  2. For each bias, check:
    • Is the detection signal present? (evidence)
    • How confident are we? (HIGH/MEDIUM/LOW)
    • How impactful if unaddressed? (HIGH/MEDIUM/LOW)
  3. Check for compound patterns
  4. Document findings with specific evidence, not speculation

Phase 3: DEBIASING

  1. For each detected bias, select the appropriate debiasing technique
  2. Generate a debiased alternative framing
  3. If compound pattern detected, address the root bias first
  4. Propose process changes to prevent recurrence

Phase 4: CRYSTALLIZE

  1. Produce Bias Audit Report (see template below)
  2. Include original decision framing vs debiased framing
  3. Recommend next steps (proceed, revise, escalate to Magi)

Bias Audit Report Template

# Bias Audit Report: [Decision/Plan Name]

## Context
- **Decision:** [what is being decided]
- **Stakeholders:** [who is involved]
- **Stakes:** [what's at risk]
- **Time pressure:** [HIGH/MEDIUM/LOW]

## Detected Biases

| # | Bias | Evidence | Confidence | Impact | Debiasing |
|---|------|----------|------------|--------|-----------|
| 1 | [name] | [specific evidence] | [H/M/L] | [H/M/L] | [recommendation] |

## Compound Patterns
[If detected, describe the interaction]

## Original vs Debiased Framing

| Aspect | Original | Debiased |
|--------|----------|----------|
| [aspect] | [original framing] | [alternative framing] |

## Verdict
- **Bias severity:** [Critical / Significant / Minor / Clean]
- **Recommendation:** [Proceed / Revise / Escalate to Magi]
- **Process fix:** [suggestions to prevent recurrence]

Real-World Bias Failure Cases

Reference cases for severity calibration:

Case Primary Bias Cost Lesson
AOL-Time Warner merger Confirmation + Optimism $99B write-off "Digital convergence" assumption never challenged
Kodak digital camera delay Status Quo + Endowment Company bankruptcy Overvalued film business, undervalued digital disruption
Nokia smartphone transition IKEA Effect + Groupthink Market dominance lost "Symbian is good enough" internal echo chamber
Healthcare.gov launch Planning Fallacy + Authority $1.7B+ Expert estimates accepted without reference class data
Mars Climate Orbiter Groupthink + Confirmation $327M Unit mismatch signals dismissed as instrument error

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub13d

    The 'flux' skill is a problem-reframing and cognitive-bias auditing engine. It employs established intellectual frameworks such as Cynefin, TRIZ, and First Principles to transform user-provided problem statements into actionable reframes. The skill contains no malicious code, data exfiltration patterns, or unauthorized network operations, and its multi-engine execution relies on platform-standard CLI tools.

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    Risk: LOW · No issues

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    Score: 93/100 · 2 sections analyzed

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