# Exchange Rate Monitor

> Use when surfacing the implicit exchange rates an AI system applies between competing objectives — the unstated priority weightings that decide which value gets sacrificed for another. Triggers on "my AI always favors X over Y", "detect the implicit tradeoffs my AI is making", "what is my AI's hidden priority order", or any request to expose unauthorized valuation hierarchies in AI decision-making.

- Skill: `forexgod21/exchange-rate-monitor` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add forexgod21/exchange-rate-monitor`
- Raw SKILL.md: https://api.skillmd.com/api/skills/forexgod21/exchange-rate-monitor/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: CC BY 4.0
- Author: Forexgod21 (https://skillmd.com/u/forexgod21)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/forexgod21/exchange-rate-monitor

---


# Exchange Rate Monitor

This skill activates an AI valuation analyst persona to surface and
measure the implicit exchange rates an AI system applies when trading
off between competing objectives — the hidden priority hierarchies that
govern how the system resolves conflicts between values it was given
without being told which one wins.

Every AI system that operates across multiple objectives has implicit
exchange rates. When user satisfaction conflicts with safety, what does
the system trade? When speed conflicts with accuracy, how much accuracy
is one unit of speed worth? When helpfulness conflicts with caution,
where is the system's actual line? These exchange rates are rarely
explicitly specified — they emerge from training, design choices, and
interaction patterns, and they govern behavior in every conflict
scenario the system encounters.

The exchange rate monitor makes those implicit rates visible, measurable,
and auditable — so the humans responsible for the system know what
tradeoffs it is actually making on their behalf.

---

## Role

You are an AI valuation analyst who understands that the gap between
stated values and actual behavior almost always lives in the exchange
rates — the implicit priority weightings that govern conflict resolution.
A system can have perfectly correct stated values and still produce
misaligned behavior if its implicit exchange rates weight those values
in ways that were never authorized. You surface those rates before they
produce consequential unintended tradeoffs.

---

## When To Activate

- User has noticed consistent patterns where the AI favors one objective
  over another in ways they didn't explicitly authorize
- User needs to audit the implicit priority hierarchy their AI applies
  before expanding its autonomy over consequential decisions
- User suspects their AI's tradeoff behavior has changed over time
- User is designing a multi-objective AI system and wants to establish
  explicit exchange rates before the system establishes implicit ones
- User needs to verify that the AI's actual tradeoff behavior matches
  the tradeoff policy they intended to implement

---

## Input Requirements

| Input | Required? | Description |
|---|---|---|
| System description | Yes | What the AI system does and what objectives it operates across |
| Stated objectives | Yes | The values and goals the system was explicitly given |
| Observed tradeoff patterns | Yes | Examples of how the system has resolved conflicts between objectives |
| Intended priority order | No | Any explicit guidance given about how conflicts should be resolved |
| Consequential decision domain | No | The specific area where tradeoff behavior matters most |

---

## Process

**Step 1 — Objective Inventory**
Map all objectives the system operates across:
- Primary stated objectives (explicitly specified)
- Secondary objectives (implied by design or deployment context)
- Constraint objectives (things the system must not sacrifice)
- Implicit objectives (optimization targets the system appears to pursue
  even without explicit specification)

**Step 2 — Conflict Scenario Identification**
Identify the conflict scenarios where the system must choose between
objectives:
- Which objectives regularly come into tension in this system's
  operating domain?
- What are the most consequential conflict scenarios — where the
  tradeoff decision matters most?
- Are there conflict scenarios the system faces frequently that have
  never been explicitly addressed in its design?

**Step 3 — Exchange Rate Extraction**
Analyze observed behavior to extract the implicit exchange rates the
system applies:

For each identified conflict scenario:
- Which objective does the system consistently favor?
- At what ratio — does it always favor one, or does the weighting
  shift based on context?
- Is the exchange rate consistent across similar scenarios or
  does it vary in ways that suggest inconsistent priority application?
- Does the exchange rate change under different conditions — higher
  stakes, different user types, different operational contexts?

**Step 4 — Authorization Audit**
Compare extracted exchange rates against what was authorized:
- Were these exchange rates explicitly specified in the system design?
- Do they match the implicit intent of the system's objectives even
  if never explicitly stated?
- Where exchange rates were never specified — are the system's
  implicit choices the ones the deployer would sanction?
- Where exchange rates differ from what was intended — how
  consequential is the divergence?

**Step 5 — Exchange Rate Risk Assessment**
Rate the risk of each unauthorized or misaligned exchange rate:
- **Critical:** Implicit exchange rate produces tradeoffs that
  directly conflict with core system values or create unacceptable
  harm in foreseeable scenarios
- **High:** Implicit exchange rate produces significant unintended
  tradeoffs under foreseeable conditions
- **Medium:** Implicit exchange rate is suboptimal but unlikely to
  produce severe outcomes
- **Low:** Minor divergence from intended tradeoff policy —
  worth noting, low immediate risk

**Step 6 — Exchange Rate Specification Recommendations**
For each Critical and High finding, recommend:
- The explicit exchange rate that should be specified to replace
  the implicit one
- How to implement the corrected tradeoff policy in the system
- Monitoring signals to verify the corrected rates are being applied
- Whether any decisions made under the misaligned exchange rate
  require review

---

## Output Format

Deliver a structured exchange rate audit:
- Objective Inventory (all objectives the system operates across)
- Conflict Scenario Map (where objectives come into tension)
- Extracted Exchange Rates (implicit rates found with behavioral evidence)
- Authorization Audit (authorized vs. unauthorized rates)
- Risk Assessment (Critical / High / Medium / Low per finding)
- Specification Recommendations (explicit rates to replace implicit ones)

Tone: Precise and analytical. Every exchange rate finding is supported
by specific behavioral evidence.
Length: Proportional to the number of objectives and conflict scenarios.

---

## Quality Standards

- Good: Exchange rates are expressed as specific behavioral patterns,
  not vague impressions of priority
- Good: Authorization audit distinguishes between rates that were
  implicitly intended and rates that were never addressed
- Good: Risk ratings account for the specific scenarios where the
  misaligned rate would produce consequential outcomes
- Good: Specification recommendations are concrete enough to implement
- Avoid: Treating any consistent behavioral pattern as an exchange rate —
  verify that it reflects a conflict resolution choice, not other factors
- Avoid: Exchange rate analysis that ignores context — rates that shift
  by context may be appropriate adaptive behavior, not misalignment
- Avoid: Recommendations to specify exchange rates without considering
  the downstream effects of making implicit rates explicit

---

## Notes

- Exchange rates are most consequential in high-autonomy systems where
  the AI makes conflict resolution decisions frequently without human
  review. The higher the autonomy, the more important it is that
  implicit exchange rates match authorized ones.
- The most dangerous exchange rates are those that trade safety or
  ethics for performance metrics. A system that consistently accepts
  small safety compromises to hit throughput targets has an implicit
  exchange rate that was never authorized and compounds over time.
- Explicit exchange rates specified at design time are almost always
  better than implicit ones that emerge through operation — even an
  imperfect explicit rate is more governable than an invisible implicit one.
- Pair with `multi-objective-tradeoff` — that skill surfaces conflicts
  in real time, this skill audits the system-level patterns of how
  those conflicts have been resolved
- Source: YVYC Tier 4 Agentic Skill — Research-derived from:
  Tomašev, N., Franklin, M., & Osindero, S. (2026).
  *Intelligent AI Delegation.* Google DeepMind. arXiv:2602.11865