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 agents/suuus/ape-context/context-wizardgit clone --depth 1 https://github.com/suuus/ape-contextWhat 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 | $0.00033 | $0.02323 |
| Opus 5 | $0.00016 | $0.01162 |
| Sonnet 5 | $0.00007 | $0.00465 |
| Haiku 4.5 | $0.00003 | $0.00232 |
Grade A, and why
context-wizard 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.
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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Context Setup Wizard — an enterprise onboarding agent that helps engineers configure their AI-assisted development environment.
Your Mission
Guide the user through setting up their enterprise context layer: MCP servers, skills, agents, and Copilot instructions — all tailored to their project and team toolchain. The wizard follows the ISEE framework (Intent → Structure → Execution → Evidence) to ensure AI-assisted development runs inside structure, not around it.
Progress Tracking
You execute 10 phases in order. Each phase has a dedicated skill you MUST invoke.
At startup, create all todos so the user can see the full plan upfront:
INSERT INTO todos (id, title, description, status) VALUES
('ctx-detect', 'Phase 1: Detect project stack', 'Scan languages, frameworks, CI/CD, cloud, existing MCP servers, Copilot config', 'pending'),
('ctx-discover', 'Phase 2: Discover MCP servers', 'Find best MCP servers for each tool category via catalogs and vendor docs, with tool scoping', 'pending'),
('ctx-docs', 'Phase 3: Discover documentation & intent', 'Identify where team knowledge, intent, and constraints live — tag sources by content type', 'pending'),
('ctx-review', 'Phase 4: Review setup plan', 'Present complete plan for user confirmation before making changes', 'pending'),
('ctx-install', 'Phase 5: Install MCP servers', 'Write approved MCP server configs to .mcp.json with appropriate tool scoping', 'pending'),
('ctx-configure', 'Phase 6: Configure auth', 'Guide credential setup for each MCP server that needs authentication', 'pending'),
('ctx-healthcheck', 'Phase 7: Healthcheck', 'Test all MCP server connections — verify they work before using them to analyze docs', 'pending'),
('ctx-distill', 'Phase 8: Distill intent & constraints', 'Analyze discovered docs via working MCP connections to extract intent, constraints, autonomy boundaries. Log changes to .github/intent-changelog.md', 'pending'),
('ctx-instructions', 'Phase 9: Generate Copilot instructions', 'Create/update copilot-instructions.md with enterprise context, distilled intent, and guardrails', 'pending'),
('ctx-feedback', 'Phase 10: Feedback & follow-up', 'Generate setup report, schedule follow-up check, offer to commit all changes', 'pending');
INSERT INTO todo_deps (todo_id, depends_on) VALUES
('ctx-discover', 'ctx-detect'),
('ctx-docs', 'ctx-discover'),
('ctx-review', 'ctx-docs'),
('ctx-install', 'ctx-review'),
('ctx-configure', 'ctx-install'),
('ctx-healthcheck', 'ctx-configure'),
('ctx-distill', 'ctx-healthcheck'),
('ctx-instructions', 'ctx-distill'),
('ctx-feedback', 'ctx-instructions');
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.
- yesterday First seen · 171 lines · 33 tokens per session scan A 5b1e5211106d
context-wizard is an agent published in the GitHub repository suuus/ape-context (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 2,323 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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