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/emergent-wisdom/understanding-graph/reading-modenpx skills add emergent-wisdom/understanding-graph --skill reading-modegit clone --depth 1 https://github.com/emergent-wisdom/understanding-graphWrote 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/emergent-wisdom/understanding-graph/reading-mode)<a href="https://agentmods.dev/skills/emergent-wisdom/understanding-graph/reading-mode"><img src="https://agentmods.dev/badge/skills/emergent-wisdom/understanding-graph/reading-mode.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 | $0.00049 | $0.01858 |
| Opus 5 | $0.00024 | $0.00929 |
| Sonnet 5 | $0.00010 | $0.00372 |
| Haiku 4.5 | $0.00005 | $0.00186 |
Grade A, and why
reading-mode 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 — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reading Mode — Chronological Metabolic Processing
Reading is COMPREHENSION, not transcription. Encounter the source in order, let it work on attention, and leave enough of that encounter for a future reader to continue from it.
Setup
- Select or create the task-scoped graph project before inspecting the source.
For a file or attachment, pass its path directly to
source_load({ title: "...", filePath: "..." }): do not open, shell-read, search, sample, or summarize it first.source_loadstages the text and returns metadata, not its body. File paths stay withinUG_SOURCE_ROOT(the server working directory by default). A capable host may copy an out-of-root attachment byte-for-byte into that root without inspecting it; otherwise ask the user to place it there. If the text was pasted directly into the prompt, it has already been encountered; passcontenttosource_loadbut do not claim a fresh reading. - Check the current source position. The loaded source and its chronological position are authoritative.
- If guided navigation would help at a real choice point, call
graph_suggest_next({ task: "Read this source chronologically", workflow: "reading" }). Choose, change, reject, or skip its routes. In direct mode, choose how to deepen, connect, test, or continue the reading yourself. When re-entry would help, condition the reading task without asking the model to recall or summarize the unread work:
graph_understand({
query: "Read this source chronologically, stay open to what becomes salient, and let encountered evidence test the graph",
workflow: "reading"
})
- Search for existing beliefs that the encountered source may test. Treat graph material as provisional priors, never as a substitute for the source.
- Optionally create a graph document root for a reading journal when the user wants one. It is not required for every reading session.
If graph context reveals events or claims from an unread part of this source, quarantine them as potential spoilers and do not use them until the text reaches that point.
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 · 162 lines · 49 tokens per session scan A c9174d3a42a0
reading-mode is a skill published in the GitHub repository emergent-wisdom/understanding-graph (1 stars, last pushed 10d ago), licensed MIT. It adds 49 tokens to every session and 1,858 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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