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.
npx agentmods add skills/vbcherepanov/total-agent-memory/design-explorenpx skills add vbcherepanov/total-agent-memory --skill design-exploregit clone --depth 1 https://github.com/vbcherepanov/total-agent-memoryWrote 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.
[](https://agentmods.dev/skills/vbcherepanov/total-agent-memory/design-explore)<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>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.
| Model | Per session | Once 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 |
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.
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
-
Discover prior art —
memory_recall(query="<task keywords>", mode="index", limit=10)+analogize(query="<task description>", exclude_project=None)— check if similar decision was made before. -
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)
-
Build criteria matrix — list 3-5 criteria that matter (e.g. performance, maintainability, migration risk, team familiarity). Rate each option 1-5 per criterion.
-
Pick one with justification referring to matrix. Name what was discarded and why.
-
Save —
save_decision(title, options, criteria_matrix, selected, rationale, discarded, project). -
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).
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.
- 5d ago First seen · 69 lines · 48 tokens per session scan A 294ba4f82e2d
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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