flyxion-salience-ontology

flyxion-salience-ontology is a skill for Claude Code, Codex from 8b-is/smart-tree. It costs 103 tokens per session (893 once invoked), scanned A, original, MIT.

A method for deciding which code or project information deserves attention during retrieval. It separates how recently something changed from how closely it is structurally related to the current question.

In plain words
What is it for?
It is for ranking or rescuing relevant repository artifacts during AI-assisted codebase searches.
Why use it?
It helps prevent old but important files from being ignored just because they have not changed recently. It is aimed at agents that search repositories and may otherwise overvalue recent activity.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; mentions OpenCode.

Good fit It is for ranking or rescuing relevant repository artifacts during AI-assisted codebase searches.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/8b-is/smart-tree/flyxion-salience-ontology
Install

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.

Any agent
npx skills add 8b-is/smart-tree --skill flyxion-salience-ontology
Clone the repo
git clone --depth 1 https://github.com/8b-is/smart-tree

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for flyxion-salience-ontology

README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 893 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00103 $0.00893
Opus 5.5 $0.00041 $0.00357
Sonnet 5.5 $0.00021 $0.00179
Haiku 4.5 $0.00010 $0.00089

Measured 2d ago against content hash 70efe8b83e40, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

flyxion-salience-ontology 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 2d 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.

skills/flyxion-salience-ontology/SKILL.md · 48 lines

How it starts

The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flyxion Salience Ontology — $d_T(x, q) \neq d_R(x, q)$ (smart-tree v10.10.0+)

"Retained does not imply retrievable; retrievable does not imply salient." $$\text{retained}(x) \not\Rightarrow \text{retrievable}(x, q) \not\Rightarrow \text{salient}(x, q)$$

flyxion-salience-ontology operationalizes Flyxion's Recency as Salience (2026) inside smart-tree (src/mem8/regularity/salience_karp_manybody.rs). It prevents chronological retrieval-as-amnesia when AI agents (agy, opencode, crush, claude) inspect a repository.


1. Core Mathematical Separation: $d_T(x, q)$ vs. $d_R(x, q)$

Every codebase query $q$ at time $t_q$ induces two distinct metrics over artifacts $x \in \mathcal{D}$:

  1. Observable Temporal Distance ($d_T$): $$d_T(x, q) = t_q - t_a(x), \quad r_T(x) \in {0, \dots, N-1}$$ Easy to sort on (mtime / last activity), so naive retrieval engines promote $d_T$ from a cheap prefix/handshape filter into a global salience ranking.
  2. Latent Relational Distance ($d_R$): $$d_R(x, q) = 0.7 \cdot d_{\text{Steiner}}!\left(\text{cluster}(x), \mathcal{T}_q\right) + 0.3 \cdot \frac{1}{1 + \ln(1 + \deg(x))}$$ Measures structural geodesic resistance distance on the Szemerédi + Voronoi Steiner backbone (erdos_steiner.rs) and Erdős Center $Z(G)$ membership.

Proxy Disagreement & "Corrugated Iron" Rescue

  • Proxy Disagreement Probability: $\Pr[x^_T \neq x^_R]$ across the top-$k$ retrieval frontier.
  • "Load-Bearing Old" ("Corrugated Iron") Artifacts (LoadBearingOldArtifact): Foundational files where $r_T(x) \gg r_R(x)$ — old modification timestamps that chronological feeds bury, even though they sit at Erdős Number 0 or 1 on the active Steiner backbone.

2. CLI & Agent Workflow

# Inspect Flyxion Salience Ontology, Proxy Disagreement & Rescued Load-Bearing Old Files:
st --erdos-center .

# Full 8-Pillar JSON Diagnostic (includes `flyxion_salience_ontology`):
st --mode the-book .

Read the full file on GitHub · 48 lines

Changes

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.

  1. 2d ago First seen · 48 lines · 103 tokens per session scan A 70efe8b83e40

Subscribe to this mod's changes

flyxion-salience-ontology is a skill published in the GitHub repository 8b-is/smart-tree (272 stars, last pushed yesterday), licensed MIT. It adds 103 tokens to every session and 893 once invoked, about $0.0004 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 2026-11-04.

Related

flyxion-salience-ontology compared with skills from other repositories

flyxion-salience-ontology next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
flyxion-salience-ontology8b-is/smart-treeSkill272yesterdayMITA103Claude Code, Codex
project-wikiGeminiLight/MindOSSkill70414d agoMITA63Claude Code, Codex
mindos-zhGeminiLight/MindOSSkill70414d agoMITA490Claude Code
mindosGeminiLight/MindOSSkill70414d agoMITA136Claude Code
mindos-maxGeminiLight/MindOSSkill70414d agoMITA145Claude Code
mindos-viewsGeminiLight/MindOSSkill70414d agoMITA60Claude Code, Codex
mindosGeminiLight/MindOSSkill70414d agoMITA157Claude Code, Codex