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 mikonos/zettelkasten-agent-skills --skill random-walkgit clone --depth 1 https://github.com/mikonos/zettelkasten-agent-skillsWrote 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/mikonos/zettelkasten-agent-skills/random-walk)<a href="https://agentmods.dev/skills/mikonos/zettelkasten-agent-skills/random-walk"><img src="https://agentmods.dev/badge/skills/mikonos/zettelkasten-agent-skills/random-walk/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/mikonos/zettelkasten-agent-skills/random-walk"><img src="https://agentmods.dev/badge/skills/mikonos/zettelkasten-agent-skills/random-walk.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 | $0.00041 | $0.00458 |
| Opus 5 | $0.00020 | $0.00229 |
| Sonnet 5 | $0.00008 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
random-walk 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 11d 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
Random Walk
Luhmann deliberately created “accidents” by revisiting old cards. This skill operationalizes that habit.
Inputs
mode(default:random):random/theme/time/crosscount(default: 4): recommended 3–5filter(optional): keyword or time prefix (e.g.202401)
Workflow
Step 1: Sample notes
Sample from your note directories (adjust to your repo):
Notes/Literature/
Strategies:
random: slightly bias toward older notestheme: filter by keyword, then randomtime: filter by date prefixcross: force one note from different domains/categories
Step 2: Deep read — “three link questions”
For each sampled note:
- How does it relate to my current problem/project?
- What does it echo from recent learning?
- What new question does it create?
Step 3: Action output
- New link → propose bidirectional write-back edits
- New idea → propose a new fleeting/permanent note
- Needs update → specify what to refresh
- No signal → record why and adjust next parameters
Output template
## Random Walk Log [YYYY-MM-DD]
### Sampled notes
1. [[Note 1]] — one-line takeaway
2. [[Note 2]] — one-line takeaway
### Serendipity insights
- **[Note A] × [Current project]**: ...
- **[Note B] × [Note C]**: ...
### Actions
- [ ] [Concrete write-back change / new note]
Quality checks
- ≥2 bidirectional link suggestions that can be written back
- ≥1 cross-domain analogy or “unexpected link”
- If no discoveries: explain why + propose better parameters
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.
- 11d ago First seen · 62 lines · 41 tokens per session scan A d815d2ff80f3
random-walk is a skill published in the GitHub repository mikonos/zettelkasten-agent-skills (2 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 458 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.
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