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 geronimo-iia/agent-skills --skill kb-conventionsgit clone --depth 1 https://github.com/geronimo-iia/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/geronimo-iia/agent-skills/kb-conventions)<a href="https://agentmods.dev/skills/geronimo-iia/agent-skills/kb-conventions"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/kb-conventions/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/geronimo-iia/agent-skills/kb-conventions"><img src="https://agentmods.dev/badge/skills/geronimo-iia/agent-skills/kb-conventions.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 | $0.00051 | $0.01266 |
| Opus 5 | $0.00026 | $0.00633 |
| Sonnet 5 | $0.00010 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
kb-conventions 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.
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.
KB Conventions
Canonical rules for the agent-knowledge repository. Every document written
into the KB must follow these conventions so claims remain traceable and
cross-skill-consistent.
Directory layout
<topic>/
sources/
<slug>/
original.pdf # Raw input (PDF, HTML snapshot, etc.)
extracted.md # Text output from pdf-parse — kept under git
source.md # llm-wiki page (paper.json schema) — source metadata + claims
analysis/
README.md # Index of all analyses for this topic
<slug>.md # Per-source structured analysis
drafts/ # WIP integration notes, large synthesis tasks in progress
synthesis/ # Authoritative KB documents for this topic
One subdirectory per source under sources/ — keeps original, extracted text, and wiki metadata co-located and traceable.
source.md template
Create sources/<slug>/source.md when acquiring a new source. Populate known fields immediately; update claims and concepts after analysis.
---
title: "<Paper Title>"
type: paper
summary: "<one-line scope>"
tldr: "<one-sentence key takeaway — fill after reading>"
status: draft
last_updated: "<YYYY-MM-DD>"
tags:
- <lowercase-hyphenated>
read_when:
- <when is this source the right thing to reach for>
sources: [] # slugs of papers this source cites (surveys, etc.)
concepts: [] # slugs of synthesis/ pages this source informs — fill after analysis
confidence: 0.5 # raise toward 1.0 as claims are verified
claims: [] # fill after analysis — see claim schema below
---
Valid type values: paper, article, documentation, clipping, transcript, note, data, book-chapter, thread.
Claim schema
Each entry in claims corresponds to a key finding. Confidence maps from annotation markers:
| Annotation | confidence |
|---|---|
[DIRECT] |
0.9 – 1.0 |
[INFERRED] |
0.6 – 0.8 |
[SPECULATIVE] |
0.1 – 0.4 |
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 Changed · +9 lines a6bfa37ea795
- 10d ago First seen · 141 lines · 51 tokens per session scan A a3f328e3e705
kb-conventions is a skill published in the GitHub repository geronimo-iia/agent-skills (2 stars, last pushed 10d ago), licensed MIT. It adds 51 tokens to every session and 1,266 once invoked, about $0.0003 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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