load-context

load-context is a skill for Claude Code, Codex from pantheon-org/tekhne. It costs 46 tokens per session (1,472 once invoked), scanned A, original, MIT.

A session-resumption tool that loads saved project context from a context file.

In plain words
What is it for?
Use it when resuming a session or continuing work from a previous context file.
Why use it?
It helps continue earlier work without manually reconstructing what happened or what remains to be done.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/pantheon-org/tekhne/load-context
Any agent
npx skills add pantheon-org/tekhne --skill load-context
Clone the repo
git clone --depth 1 https://github.com/pantheon-org/tekhne

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/pantheon-org/tekhne/load-context.svg)](https://agentmods.dev/skills/pantheon-org/tekhne/load-context)
Your own site
<a href="https://agentmods.dev/skills/pantheon-org/tekhne/load-context"><img src="https://agentmods.dev/badge/skills/pantheon-org/tekhne/load-context.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,472 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00046 $0.01472
Opus 5 $0.00023 $0.00736
Sonnet 5 $0.00009 $0.00294
Haiku 4.5 $0.00005 $0.00147

Measured 4d ago against content hash 3974c648f6c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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/agentic-harness/load-context/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Load Context

Load session state from .context/session/CONTEXT-{stream}-llm.md and optionally expand full resources.

Speed: < 3 seconds (default), 5-8 seconds (--full)

⚠️ AskUserQuestion Guard

CRITICAL: After EVERY AskUserQuestion call, check if answers are empty/blank. Known Claude Code bug: outside Plan Mode, AskUserQuestion silently returns empty answers without showing UI.

If answers are empty: DO NOT proceed with assumptions. Instead:

  1. Output: "⚠️ Questions didn't display (known Claude Code bug outside Plan Mode)."
  2. Present the options as a numbered text list and ask user to reply with their choice number.
  3. WAIT for user reply before continuing.

Performance Rules

  1. Use rtk for ALL shell commands
  2. Parallel tool calls — ALL independent calls in one message
  3. Minimize round-trips
  4. No unnecessary synthesis — present parsed data directly

Workflow

Phase 1: Detect & Read (parallel)

Bash: rtk ls -t .context/session/CONTEXT-*llm.md .context/session/done/CONTEXT-*llm.md 2>/dev/null || true
Read: .context/session/CONTEXT-{stream}-llm.md (if stream known from $ARGUMENTS)

If not found in .context/session/, check .context/session/done/ subfolder. If found there, note 📦 (from done/) in report.

If multiple streams and no selection → AskUserQuestion with options (mark done/ files with 📦).

Filename: "default" → .context/session/CONTEXT-llm.md, "{name}" → .context/session/CONTEXT-{name}-llm.md

Phase 2: Expand Resources (if --full)

Parallel Read: OpenSpec project/proposal/tasks.md, top 3 hot files, manifest.yaml. DO NOT restore tasks — informational only.

Thinking Artifacts (if ## Thinking Artifacts section exists in CONTEXT file):

  • Default mode: display artifact paths in resume report (no content read)
  • --full mode: Read referenced thinking artifacts and include brief summaries in report

Phase 3: Format Resume Report

Parse key-value header + markdown sections → human-friendly report.

Read the full file on GitHub · 121 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. 4d ago First seen · 121 lines · 46 tokens per session scan A 3974c648f6c0

Subscribe to this mod's changes

load-context is a skill published in the GitHub repository pantheon-org/tekhne (10 stars, last pushed 3d ago), licensed MIT. It adds 46 tokens to every session and 1,472 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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