Borrowing it
Nothing to install: this file belongs to DeL-TaiseiOzaki/claude-code-orchestra. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DeL-TaiseiOzaki/claude-code-orchestra/main/.claude/skills/context-loader/SKILL.mdgit clone --depth 1 https://github.com/DeL-TaiseiOzaki/claude-code-orchestraWrote 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/del-taiseiozaki/claude-code-orchestra/context-loader)<a href="https://agentmods.dev/skills/del-taiseiozaki/claude-code-orchestra/context-loader"><img src="https://agentmods.dev/badge/skills/del-taiseiozaki/claude-code-orchestra/context-loader/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.
<a href="https://agentmods.dev/skills/del-taiseiozaki/claude-code-orchestra/context-loader"><img src="https://agentmods.dev/badge/skills/del-taiseiozaki/claude-code-orchestra/context-loader.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01269 |
| Opus 5 | $0.00017 | $0.00634 |
| Sonnet 5 | $0.00007 | $0.00254 |
| Haiku 4.5 | $0.00003 | $0.00127 |
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 3d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Context Loader Skill
Purpose
Load canonical shared context from .claude/ plus project-owned design
documentation so every agent runtime uses the same source files.
When to Activate
ALWAYS - This skill must run at the beginning of every task to load project context.
Workflow
Step 1: Resolve the Read Plan
Run load_context.py to get a deterministic read order instead of a
hand-maintained file list, so the plan never drifts from what actually exists
on disk:
python3 .claude/skills/context-loader/load_context.py [--task-libraries name,name]
Pass --task-libraries (comma-separated) when the task names specific
libraries; the script matches them against .claude/docs/libraries/ and folds
any hits into the read order.
The JSON reports {ok, read_order, rules, state, design, progress, libraries, missing, unreadable, warnings}. read_order is the exact ordered list of
repo-relative paths to read, in this order:
- the rule files in
.claude/rules/(coding principles, delegation, dev environment, language, security, testing, tiers, CLI execution, Codex delegation, and any newly added rule file); .claude/STATE.md— the active main agent and current working blocks;PROGRESS.md— the rolling record of the latest five checkpoints, and the session-to-session continuity/featurereads first;.claude/docs/DESIGN.md— architecture decisions and constraints;- any matched library docs.
Step 2: Read Everything in read_order, Then Surface Gaps
Read each path in read_order. Then check the rest of the report:
missing— canonical files that do not exist at all (e.g..claude/docs/DESIGN.md,PROGRESS.md). Report these; do not silently proceed as if they were empty.unreadable— files that do exist but could not be read or decoded. This is a filesystem or encoding problem, not an un-bootstrapped repository: do not respond by suggesting/init.warnings—design.placeholderis tri-state:truemeans.claude/docs/DESIGN.mdis absent or still the uninitialised/inittemplate (its "Background & Purpose" section is empty),falsemeans real prose, andnullmeans the marker heading is gone so the question cannot be answered.progress.entries: 0meansPROGRESS.mdexists but holds no checkpoint entry.libraries.matchedvslibraries.files—matchedis whatread_orderincluded for the current task;filesis every doc that exists. If a library relevant to the task isn't infilesat all, its documentation simply doesn't exist yet.
What ships with it
1 file 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.
- 3d ago Changed · +3 tokens per session de5a3fc4b508
- 9d ago First seen · 119 lines · 31 tokens per session scan A d3117889cb95
context-loader is a skill published in the GitHub repository DeL-TaiseiOzaki/claude-code-orchestra (194 stars, last pushed 4d ago), licensed MIT. It adds 34 tokens to every session and 1,269 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 2026-08-30.
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