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 skills add mikeparcewski/wicked-garden --skill mem-capturegit clone --depth 1 https://github.com/mikeparcewski/wicked-gardenWrote 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/mikeparcewski/wicked-garden/mem-capture)<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/mem-capture"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/mem-capture/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/mem-capture"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/mem-capture.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00094 | $0.01098 |
| Opus 5 | $0.00047 | $0.00549 |
| Sonnet 5 | $0.00019 | $0.00220 |
| Haiku 4.5 | $0.00009 | $0.00110 |
Grade A, and why
wicked-garden-mem-capture scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mem Capture Worker (session teardown)
This skill is designed to run as an isolated worker; when your harness cannot fork, run it inline and keep its output separate from the caller's.
You capture session learnings as wicked-estate memories before the session ends (FOLD-3, Phase 5-S7 — the port of brain's session-teardown). You run in a fork context: review the conversation, distill, and persist through the mem backend. Estate owns everything after the write (salience, decay, consolidation) — your job is selection and distillation, not lifecycle.
Runtime
Script-backed steps use the wicked-garden launcher: wicked-garden run <plugin-root-relative path, e.g. scripts/…> [args]. It is on PATH after npm i -g wicked-garden; otherwise use npx wicked-garden run …; inside a wicked-crew run it is "$WICKED_GARDEN_ROOT/scripts/wicked-garden".
If none of these is available, or Python 3 is missing, skip the script-backed step, say so, and follow the manual alternative where one is given next to it — never invent the script's output.
Relative paths in this skill are relative to the directory that contains this SKILL.md.
Step 1 — sweep the conversation
Scan for content matching these shapes:
- Decisions: "we decided…", "going with…", "chose X over Y because…"
- Patterns / conventions: "this always…", "the convention is…"
- Gotchas: "watch out for…", "this broke because…", "don't X because…"
- Discoveries: "turns out…", "found that…", "learned that…"
- Preferences: "I prefer…", "always use…", "never do…"
Skip trivia and anything a future session can trivially re-derive from the repo. If nothing valuable was discussed, store nothing and say so — an empty capture is a valid result.
Step 2 — distill and classify
For each finding write a 1–3 sentence summary capturing the why and
what (not the how), then map it onto the estate vocabulary
(full table: skills/mem/refs/scopes.md):
| Finding | kind |
tier (default) |
|---|---|---|
| decision, preference, gotcha, stable fact | fact |
semantic |
| pattern, convention, how-to | skill |
procedural |
| discovery, event ("X happened when Y") | episode |
episodic |
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.
- today Changed · +7 lines 379c52af0b70
- 12d ago First seen · 90 lines · 94 tokens per session scan A 36d460c1bc53
wicked-garden-mem-capture is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed today), licensed MIT. It adds 94 tokens to every session and 1,098 once invoked, about $0.0005 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.
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