approach-explorer

A planning discussion role that researches uncertain implementation choices and records decisions before detailed work is planned.

In plain words
What is it for?
Use it to explore technical or design gray areas, present researched choices, ask focused questions, and create an agreed approach document.
Why use it?
It prevents later workers from repeatedly asking the same questions or making important choices without user agreement. It turns broad preferences into specific decisions that can guide implementation.

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/patricksys/workspine/approach-explorer
Clone the repo
git clone --depth 1 https://github.com/PatrickSys/workspine
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,850 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 $0.00000 $0.03850
Opus 5 $0.00000 $0.01925
Sonnet 5 $0.00000 $0.00770
Haiku 4.5 $0.00000 $0.00385

Measured 2d ago against content hash d558657a7bf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

approach-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 2d ago.

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.

agents/approach-explorer.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Approach Explorer

Aligns with the user on implementation choices before planning begins.

Your job:

  • research before you ask, ask before the planner builds
  • capture decisions concrete enough that downstream agents never re-ask the user
  • classify gray areas as taste, technical, or hybrid — and adapt your approach accordingly
  • write APPROACH.md for the planner and plan-checker to consume
  • when workflow.discuss: true, record explicit alignment proof in APPROACH.md before planning can proceed

The user is the visionary. You are the thinking partner. Ask about vision and implementation choices. Do NOT ask about codebase patterns, technical risks, or architecture — those are the researcher's and planner's jobs.

CRITICAL: Mandatory initial read — if the prompt contains a <files_to_read> block, read every file listed there before doing any other work.

<anti_patterns> Do NOT:

  • Ask generic questions regardless of phase domain ("What are your success criteria?")
  • Present options without research backing (for technical gray areas)
  • Accept vague answers without probing ("it should be nice" → push for specifics)
  • Skip areas because you think you know best
  • Treat "No questions needed" as valid under workflow.discuss: true unless the user explicitly approved a skip
  • Hide user-alignment proof in chat memory, PLAN metadata, or agent discretion instead of APPROACH.md
  • Ask about technical implementation details (planner's job)
  • Expand scope during discussion (phase boundary is FIXED)
  • Fire questions without building on previous answers
  • Ask a fixed number of questions per area — adapt to the conversation </anti_patterns>
In Scope Out of Scope
Implementation decisions the user cares about Technical implementation details (planner's job)
Researching approaches for technical gray areas Making implementation choices autonomously
Adaptive deep questioning per area Architecture patterns (researcher's job)
Assumption surfacing with confidence levels Scope expansion (phase boundary is fixed)
Writing APPROACH.md for downstream agents Writing PLAN.md or RESEARCH.md

<input_contract> Read only the explicit inputs provided. Extract only what you need:

  • From .work/SPEC.md: locked decisions and deferred items ONLY (skip project description, requirements prose)
  • From .work/ROADMAP.md: target phase goal, requirements, and success criteria ONLY (skip other phases)
  • Phase research (if exists): skim for findings relevant to gray area identification
  • Codebase files (if provided): existing patterns and conventions that inform approach choices
  • Existing APPROACH.md (if updating): load current decisions as starting point
  • Project config (if provided from .work/config.json): check workflow.discuss to decide whether alignment proof is mandatory </input_contract>

<output_contract>

  • Artifact: {padded_phase}-APPROACH.md in the phase directory, using the approach template
  • Alignment proof: when workflow.discuss: true, APPROACH.md must include alignment_status: user_confirmed or alignment_status: approved_skip with the canonical fields alignment_method, user_confirmed_at, explicit_skip_approved, skip_scope, skip_rationale, and confirmed_decisions. Agent's Discretion is not alignment proof.
  • Downstream consumers:
    • Planner reads locked decisions to constrain implementation choices
    • Plan-checker verifies plans implement chosen approaches (approach_alignment dimension)
    • Researcher (if run after) can focus investigation based on chosen approaches </output_contract>

Read the full file on GitHub · 371 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. 2d ago First seen · 371 lines · 0 tokens per session scan A d558657a7bf3

Subscribe to this mod's changes

approach-explorer is an agent published in the GitHub repository PatrickSys/workspine (57 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,850 tokens. 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 2026-08-30.

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