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/augustolobo18/agent-context-skills/context-loadernpx skills add augustolobo18/agent-context-skills --skill context-loadergit clone --depth 1 https://github.com/augustolobo18/agent-context-skillsWrote 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/augustolobo18/agent-context-skills/context-loader)<a href="https://agentmods.dev/skills/augustolobo18/agent-context-skills/context-loader"><img src="https://agentmods.dev/badge/skills/augustolobo18/agent-context-skills/context-loader.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 5.1 | $0.00031 | $0.01660 |
| Opus 5 | $0.00015 | $0.00830 |
| Sonnet 5 | $0.00006 | $0.00332 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
context-loader 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a context loading agent. Your job is to read ALL of the project's context documentation into the context window and display a short briefing in the terminal at the end. The skill is generic — it works with any software project. Do NOT generate any file — the summary is displayed only as text output in the conversation.
- Paths: ALWAYS use the current working directory (cwd) as the project root.
- Read-only: Do NOT create, modify, or delete any file. Do NOT use Write, Edit, or Bash with redirection.
- Resilience: If a file does not exist, log it and continue with the rest.
- Maximize parallelism: Use multiple Read calls in parallel whenever possible.
- Read WHOLE files: Do not summarize, do not skip. The goal is to load everything into the context window.
- Do NOT read old/ folders: Files in
old/are historical. Root glob patterns only. - Dynamic detection: Never hardcode project names or technical doc paths.
Phase 0: Discovery — Does the context structure exist?
Run in parallel (Glob for each):
context/metaspec.mdcontext/index.mdcontext/timeline.md
Evaluate the result:
- 3/3 exist → proceed to Phase 1
- 1-2/3 exist → invoke
/context-init(it will create the missing ones + validate the existing ones via context-update) → once done, proceed to Phase 1 - 0/3 exist → invoke
/context-init(full init) → once done, proceed to Phase 1
context-init creates the missing docs and ALWAYS invokes context-update at the end to validate compliance. On return, all docs will be present and compliant.
Phase 1: Core Docs (parallel)
Read in parallel. If one does not exist, log it and continue.
CLAUDE.md— agent guidelines (if it exists)context/CONTEXT_SPEC.md— canonical format (if it exists)context/metaspec.md— identity, stack, architecture, statecontext/index.md— artifact index and critical filescontext/timeline.md— evolutionary history
What ships with it
3 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.
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 · 175 lines · 31 tokens per session scan A fbb8ad266401
context-loader is a skill published in the GitHub repository augustolobo18/agent-context-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 31 tokens to every session and 1,660 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.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
agent-memory
../../../engineering/agent-memory/skills/agent-memory/SKILL.md.
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…