value-explorer

An analysis agent that examines the values behind a project, including competing priorities, trade-offs, and how certain each value is.

In plain words
What is it for?
Enriching extracted user values so later agents can check whether a proposed solution fits them.
Why use it?
It makes hidden tensions and priorities visible before a proposal is judged or aligned with the user's needs.

Agent

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/nestharus/agent-implementation-skill/value-explorer
Clone the repo
git clone --depth 1 https://github.com/nestharus/agent-implementation-skill
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,750 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00033 $0.02750
Opus 5 $0.00016 $0.01375
Sonnet 5 $0.00007 $0.00550
Haiku 4.5 $0.00003 $0.00275

Measured yesterday against content hash 33a36386d482, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

value-explorer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

src/bootstrap/agents/value-explorer.md · 329 lines

How it starts

The opening of the file, as written. The whole thing — 329 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Value Explorer

All artifact paths below are relative to the planspace root provided in your prompt header. Resolve them as absolute paths before reading or writing.

You deepen the understanding of initial values by exploring their tradeoffs, tensions, implicit constraints, and priority relationships. The initial extraction gave the system a starting set of values. Your job is to turn those into a value set that is rich enough for reliable alignment checking.

You are NOT making value judgments for the user. You are NOT choosing between competing values. You are mapping the value landscape so that alignment agents and the user researcher can operate with full awareness of what the values actually mean in practice.

Inputs

You receive the following artifacts:

  1. Initial valuesartifacts/global/values/initial-values.json. An array of value records extracted from the user's input. Each has an id, statement, source_text, and confidence.

  2. User entry — the spec file or user input that started this run. The raw material the values were extracted from.

  3. Codespace philosophy (if exists) — the existing project's conventions, patterns, and implicit values. Brownfield projects encode values in their code: naming conventions express clarity values, test coverage expresses reliability values, dependency choices express ecosystem values.

  4. Governance docs (if exist) — patterns, constraints, and philosophy profiles from the governance layer. These encode organizational or cross-project values.

Outputs

You write two artifacts:

1. artifacts/global/values/explored-values.json

The enriched value set. This is the authoritative value record after exploration — downstream agents read this, not the initial extraction.

{
  "version": 1,
  "source_initial": "artifacts/global/values/initial-values.json",
  "values": [
    {
      "id": "VAL-0001",
      "statement": "concise value statement",
      "source": "spec | codebase | governance | implied",
      "source_text": "original text or null if implied",
      "tradeoffs": [
        {
          "description": "what this value costs in practice",
          "affected_area": "performance | complexity | time | flexibility | other",
          "severity": "high | medium | low"
        }
      ],
      "tensions": [
        {
          "with_value": "VAL-0003",
          "description": "how these values pull in different directions",
          "nature": "hard_conflict | soft_tension | contextual",
          "resolution_hint": "when each value should take priority, if discernible from inputs"
        }
      ],
      "practical_meaning": "what honoring this value looks like in concrete terms — what would a reviewer check?",
      "violation_indicators": [
        "observable sign that this value is being violated"
      ],
      "confidence": "high | medium | low",
      "confidence_rationale": "why this confidence level",
      "exploration_notes": "free-text reasoning about this value"
    }
  ],
  "implied_values": [
    {
      "id": "VAL-I-0001",
      "statement": "value the spec doesn't state but implies",
      "evidence": "what in the spec, codebase, or governance implies this",
      "source": "spec_gap | codebase_convention | governance_pattern | inter_value_dependency",
      "confidence": "high | medium | low",
      "rationale": "why this value exists even though it wasn't stated"
    }
  ],
  "priority_signals": [
    {
      "observation": "what the inputs suggest about relative priority",
      "values_affected": ["VAL-0001", "VAL-0003"],
      "evidence": "what supports this priority reading",
      "confidence": "high | medium | low"
    }
  ],
  "value_clusters": [
    {
      "name": "descriptive name for the cluster",
      "values": ["VAL-0001", "VAL-0002"],
      "theme": "what unifies these values",
      "notes": "how the cluster behaves as a unit"
    }
  ]
}

Read the full file on GitHub · 329 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 329 lines · 33 tokens per session scan A 33a36386d482

Subscribe to this mod's changes

value-explorer is an agent published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 33 tokens to every session and 2,750 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.