load-context

load-context is a skill for Claude Code, Codex from ethanaubuchon/dossier-tradecraft. It costs 53 tokens per session (319 once invoked), scanned A, original, MIT.

A workflow step that loads a user's stored profile and checks their inbox before research or another recipe begins. It can also prepare notes from a clearly related project area.

In plain words
What is it for?
Use it at the beginning of research workflows and other recipes that need vault context. In a code repository, it can also detect project and Git context for planning or implementation.
Why use it?
It gives later steps the relevant stored context and makes pending inbox notes visible at the start. This reduces repeated setup and helps research begin with the right background.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it at the beginning of research workflows and other recipes that need vault context. In a code repository, it can also detect project and Git context for planning or implementation.

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Install with agentmods
npx agentmods add skills/ethanaubuchon/dossier-tradecraft/load-context
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 ethanaubuchon/dossier-tradecraft --skill load-context
Clone the repo
git clone --depth 1 https://github.com/ethanaubuchon/dossier-tradecraft

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 load-context

README.md
[![agentmods](https://agentmods.dev/badge/skills/ethanaubuchon/dossier-tradecraft/load-context/github.svg)](https://agentmods.dev/skills/ethanaubuchon/dossier-tradecraft/load-context)
Your own site
<a href="https://agentmods.dev/skills/ethanaubuchon/dossier-tradecraft/load-context"><img src="https://agentmods.dev/badge/skills/ethanaubuchon/dossier-tradecraft/load-context/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 load-context

Your own site · 80×15
<a href="https://agentmods.dev/skills/ethanaubuchon/dossier-tradecraft/load-context"><img src="https://agentmods.dev/badge/skills/ethanaubuchon/dossier-tradecraft/load-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 319 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 $0.00053 $0.00319
Opus 5.5 $0.00021 $0.00128
Sonnet 5.5 $0.00011 $0.00064
Haiku 4.5 $0.00005 $0.00032

Measured 1mo ago against content hash 9ba2755b543c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

load-context 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.

skills/load-context/SKILL.md · 26 lines

What it actually says

Load Context

Call this once at the start of a workflow recipe to establish working context. In /research, this is the vault grounding pre-step — it loads the context that informs downstream web queries.

Steps

  1. Call mcp__dossier-mcp__get_vault_context. This loads profile.md silently — do not summarize or recite it.

  2. Call mcp__dossier-mcp__list_notes(path: "inbox"). If the inbox is non-empty, surface a one-line nudge to the user: Inbox has N notes — worth processing before we start?

  3. If the user has supplied a research topic with a clear project anchor (e.g. "relocation healthcare costs" → projects/relocation), call mcp__dossier-mcp__list_notes(path: "projects/<slug>") to pre-warm topic context. Skip if no anchor is obvious — vault-researcher will find what it needs.

Output

No structured return value. Context loads into the conversation. The recipe continues to its next step.

Future scope (not in Phase 1)

  • Repo / vault / mixed environment detection
  • git status snapshot for the working dir
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. 1mo ago First seen · 26 lines · 53 tokens per session scan A 9ba2755b543c

Subscribe to this mod's changes

load-context is a skill published in the GitHub repository ethanaubuchon/dossier-tradecraft (3 stars, last pushed 8d ago), licensed MIT. It adds 53 tokens to every session and 319 once invoked, about $0.0002 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.