agentmods.dev

lab-wx-distillation

lab-wx-distillation is a skill for Codex from haorantang97/Personal-Ontology. It costs 119 tokens per session (3,177 once invoked), scanned A, original, no licence file.

A workflow for turning WeChat 4.x conversations on macOS or Windows into carefully bounded personal context. WeChat is a messaging app; the workflow can collect, decrypt lawfully, clean, redact, combine, check, and distill conversation records.

In plain words
What is it for?
It is for building a personal knowledge base from WeChat chats, merging related events, finding conflicts or omissions, and checking the resulting distillation.
Why use it?
It helps turn large chat histories into usable evidence while retaining limits on what the records actually support.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 16repo +2 changed yesterday A scan 119 tokens custom licence

Good fit It is for building a personal knowledge base from WeChat chats, merging related events, finding conflicts or omissions, and checking the resulting distillation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/haorantang97/personal-ontology/lab-wx-distillation
View source ↗ haorantang97/Personal-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 haorantang97/Personal-Ontology --skill lab-wx-distillation
Clone the repo
git clone --depth 1 https://github.com/haorantang97/Personal-Ontology

Made for: 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 lab-wx-distillation

README.md
[![agentmods](https://agentmods.dev/badge/skills/haorantang97/personal-ontology/lab-wx-distillation/github.svg)](https://agentmods.dev/skills/haorantang97/personal-ontology/lab-wx-distillation)
Your own site
<a href="https://agentmods.dev/skills/haorantang97/personal-ontology/lab-wx-distillation"><img src="https://agentmods.dev/badge/skills/haorantang97/personal-ontology/lab-wx-distillation/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.

agentmods 80×15 button for lab-wx-distillation

Your own site · 80×15
<a href="https://agentmods.dev/skills/haorantang97/personal-ontology/lab-wx-distillation"><img src="https://agentmods.dev/badge/skills/haorantang97/personal-ontology/lab-wx-distillation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,177 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 unknown 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 $0.00119 $0.03177
Opus 5.5 $0.00048 $0.01271
Sonnet 5.5 $0.00024 $0.00635
Haiku 4.5 $0.00012 $0.00318

Measured yesterday against content hash 3edca6a6570f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lab-wx-distillation 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 yesterday.

The scan reads SKILL.md. This mod also ships 32 executable files (scripts/pcd.py, scripts/personal_context_distillation/__init__.py, scripts/personal_context_distillation/atomic.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/lab-wx-distillation/SKILL.md · 175 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

60 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.

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. yesterday Changed · -1 lines 3edca6a6570f
  2. 1mo ago First seen · 176 lines · 119 tokens per session scan A a736f30abfb1

Subscribe to this mod's changes

lab-wx-distillation is a skill published in the GitHub repository haorantang97/Personal-Ontology (16 stars, last pushed 2d ago), with no licence file. It adds 119 tokens to every session and 3,177 once invoked, about $0.0005 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 2026-09-14.

Claude CodeMemory and contextResearchagent-skillscodexknowledge-basemcpobsidian
Related

Other skills, from other repositories

llm-wiki

Explain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.

Ar9av/obsidian-wiki · 41 tokens

wiki-lint

Audit wiki health: broken links, orphans, contradictions, stale content, lifecycle and tag issues. Use for maintenance or health checks. Default is report-only; use wiki-dedup for page-identity merges.

Ar9av/obsidian-wiki · 47 tokens

wiki-status

Report wiki ingestion/completeness state, pending source delta, structural insights, or maintenance equilibrium. Use for remaining-work/status questions, hubs and bridges, or whether maintenance skills still have pending changes. wiki-digest summarizes learned knowledge instead.

Ar9av/obsidian-wiki · 50 tokens

wiki-export

Export the Obsidian wiki graph to JSON, GraphML, Neo4j Cypher, Postgres/SQL, HTML, or OKF bundles. Use when transferring or visualizing wiki data in external tools; wiki-import handles the reverse direction.

Ar9av/obsidian-wiki · 53 tokens

wiki-query

Search and synthesize answers from the compiled Obsidian wiki, including cited and multi-hop answers. Use for questions about existing wiki knowledge or fast index-only lookups. Supports named-vault routing such as wiki-query @work; not for ingesting new sources.

Ar9av/obsidian-wiki · 56 tokens

wiki-capture

Turn the current conversation or finding into a structured permanent wiki note. Use for save/capture/preserve requests; QUICK MODE writes a fast raw/ note. Supports named-vault routing such as @research save this. This captures current discussion, not external source ingestion.

Ar9av/obsidian-wiki · 58 tokens