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 hraness/atet --skill percolate-kbgit clone --depth 1 https://github.com/hraness/atetWrote 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/hraness/atet/percolate-kb)<a href="https://agentmods.dev/skills/hraness/atet/percolate-kb"><img src="https://agentmods.dev/badge/skills/hraness/atet/percolate-kb/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/hraness/atet/percolate-kb"><img src="https://agentmods.dev/badge/skills/hraness/atet/percolate-kb.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 | $0.00070 | $0.01154 |
| Opus 5.5 | $0.00028 | $0.00462 |
| Sonnet 5.5 | $0.00014 | $0.00231 |
| Haiku 4.5 | $0.00007 | $0.00115 |
Grade A, and why
percolate-kb scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- percolate-kb — 100% identical, 0 lines differ
- percolate-kb — 100% identical, 32 lines differ
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Percolate concepts and relationships
Keep the graph authored, local, and reviewable. kb percolate proposes
candidates from deterministic evidence; it never changes a note. Backlinks,
graph reports, and QMD results are derived views, while Markdown remains the
authority.
Locate the vault
- Resolve
<vault>to the directory containing its authored or managedindex.mdfront door. - Read the applicable repository and vault instructions before editing.
- Pass the resolved path to every
--root. - Identify the note or small neighborhood changed by the current task. Prefer a bounded review to a vault-wide cleanup during parallel work.
Inspect candidates
Run percolation on the changed note when possible:
kb percolate notes/example --root "$KB_ROOT" --limit 25 --json
Run it without a note only when reviewing the whole vault:
kb percolate --root "$KB_ROOT" --min-support 2 --limit 50 --json
Treat each result as a prompt to open the cited notes and read the relevant prose. Candidate kinds may include:
- a recurring tag with no maintained
type: conceptnote; - notes that share a concept or tag but have no explicit relationship;
- an exact title or alias mentioned without a contextual link;
- a self, reciprocal, malformed, broken, or ambiguous authored relationship.
For missing relationships, support counts independent shared tags or concept
neighbors; the evidence array shows the participating notes. The default
minimum of two therefore requires two shared signals, not merely both endpoints
of one tag match. Other candidate kinds count their natural unit: supporting
notes, mention occurrences, or authored hygiene evidence.
For a missing concept, use suggestedId. When collidesWith is non-null, the
natural ID is already an ordinary note, so KB chooses an unoccupied
*-concept ID. Read the occupied note before deciding whether to create the
suggested concept or promote and improve the existing note instead.
Semantic search may help discover evidence, but similarity is never enough to author an edge.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 150 lines · 70 tokens per session scan A 552cb9dcc68d
percolate-kb is a skill published in the GitHub repository hraness/atet (5 stars, last pushed 1mo ago), licensed MIT. It adds 70 tokens to every session and 1,154 once invoked, about $0.0003 per session on Opus 5.5. 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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