design-explore

design-explore is a skill for Claude Code, Codex from vbcherepanov/total-agent-memory. It costs 48 tokens per session (563 once invoked), scanned A, original, MIT.

A design-planning guide for larger software changes, such as refactors, architecture work, or new subsystems.

In plain words
What is it for?
Use it to research prior decisions, outline implementation options, assess trade-offs, choose an approach, and record the decision before coding.
Why use it?
It makes important design choices explicit by comparing several approaches against criteria like maintainability and migration risk.

Skill for Claude CodeCodex

Part of the total-agent-memory plugin — 3 skills, 7 hooks, 1 MCP server shipped together

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 skills/vbcherepanov/total-agent-memory/design-explore
Any agent
npx skills add vbcherepanov/total-agent-memory --skill design-explore
Clone the repo
git clone --depth 1 https://github.com/vbcherepanov/total-agent-memory

Made for: Claude Code, Codex.

Or install total-agent-memory, the plugin that ships this one along with the rest of its 3 skills, 7 hooks, 1 MCP server.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for design-explore

README.md
[![agentmods](https://agentmods.dev/badge/skills/vbcherepanov/total-agent-memory/design-explore.svg)](https://agentmods.dev/skills/vbcherepanov/total-agent-memory/design-explore)
Your own site
<a href="https://agentmods.dev/skills/vbcherepanov/total-agent-memory/design-explore"><img src="https://agentmods.dev/badge/skills/vbcherepanov/total-agent-memory/design-explore.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 563 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 $0.00048 $0.00563
Opus 5 $0.00024 $0.00282
Sonnet 5 $0.00010 $0.00113
Haiku 4.5 $0.00005 $0.00056

Measured 5d ago against content hash 294ba4f82e2d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

design-explore 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 5d 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.

examples/skills/design-explore/SKILL.md · 69 lines

What it actually says

design-explore

Use this skill when the user asks for "design", "architecture", "approach", "options", "trade-offs", "how should we do X", or when task classifier returns level >= 3.

Workflow

  1. Discover prior artmemory_recall(query="<task keywords>", mode="index", limit=10) + analogize(query="<task description>", exclude_project=None) — check if similar decision was made before.

  2. Generate 2-4 options for the design space. For each option, fill:

    • Core approach (1 sentence)
    • Implementation sketch (3-5 lines)
    • Pros (3 bullets)
    • Cons (2-3 bullets)
    • Unknowns (what we don't yet know)
  3. Build criteria matrix — list 3-5 criteria that matter (e.g. performance, maintainability, migration risk, team familiarity). Rate each option 1-5 per criterion.

  4. Pick one with justification referring to matrix. Name what was discarded and why.

  5. Savesave_decision(title, options, criteria_matrix, selected, rationale, discarded, project).

  6. Only then proceed to implementation — with a clear decision in memory for next session.

Output template

## Decision: {title}

### Prior art
{memory_recall/analogize results — 1-2 sentences}

### Options

#### 1. {option name}
- **Approach:** {1 sentence}
- **Implementation:** {sketch}
- **Pros:** {3 bullets}
- **Cons:** {3 bullets}
- **Unknowns:** {bullets}

#### 2. {option name}
... (same structure)

### Criteria matrix

| Criterion | Option 1 | Option 2 | ... |
|---|:-:|:-:|:-:|
| {criterion} | 5 | 3 | ... |

### Selected: {option name}

{rationale — 2-3 sentences referencing matrix}

### Discarded

- **{option name}**: {1-sentence reason}

When NOT to use

  • L1/L2 tasks (quick fixes, straightforward additions) — overkill, just do it.
  • Single-option situations (no real trade-off).
  • Implementation bugs (debug first, design later).
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. 5d ago First seen · 69 lines · 48 tokens per session scan A 294ba4f82e2d

Subscribe to this mod's changes

design-explore is a skill published in the GitHub repository vbcherepanov/total-agent-memory (67 stars, last pushed 8d ago), licensed MIT. It adds 48 tokens to every session and 563 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 2026-08-30.

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