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/suuus/ape-context/context-instructionsnpx skills add suuus/ape-context --skill context-instructionsgit clone --depth 1 https://github.com/suuus/ape-contextWrote 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/suuus/ape-context/context-instructions)<a href="https://agentmods.dev/skills/suuus/ape-context/context-instructions"><img src="https://agentmods.dev/badge/skills/suuus/ape-context/context-instructions.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 | $0.00019 | $0.01325 |
| Opus 5 | $0.00010 | $0.00662 |
| Sonnet 5 | $0.00004 | $0.00265 |
| Haiku 4.5 | $0.00002 | $0.00133 |
Grade A, and why
context-instructions 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate or update .github/copilot-instructions.md with enterprise context based on everything configured so far.
Important: Include ALL configured MCP servers
List every MCP server from .mcp.json — both newly installed and pre-existing ones. For each, document:
- What services it covers
- Key tools and when to use them
- Example: workiq covers M365 — "When user asks about emails, meetings, SharePoint docs, or Teams messages, use the workiq MCP server's ask_work_iq tool"
What to generate
Add an ## Enterprise Context section (or update it if it exists) with:
Per-tool blocks
For each configured MCP server/tool:
- MCP server name
- Key tools it provides (list the actual tool names agents should use)
- When to use this tool vs. alternatives
- Team conventions (project keys, space names, URLs)
- Prefer MCP tools over CLI equivalents when available
Skills and agents
Reference any relevant skills or agents:
- "Use the
azure-deployskill for deployments" - "The
context-wizardagent can reconfigure this setup"
Team Intent & Constraints
Retrieve distilled intent from the session store:
SELECT value FROM session_state WHERE key = 'distilled_intent';
Fall back to conversation context if not available. If neither exists, skip this section and note: "No distilled intent available — run /context-distill to generate."
Include the distilled output from Phase 8 (Distill). This is the Intent layer of ISEE — codified so every agent inherits it.
Intent statements
Express what the team values as clear directives:
- "This team prioritises reliability over feature velocity"
- "Security reviews are required for all external-facing changes"
Constraints
Hard rules that agents must always respect:
- "Production deployments require manual approval from a team lead"
- "All PRs must reference a Jira ticket"
- "Secrets must be stored in Azure Key Vault, never in environment variables"
Autonomy boundaries
Render the classified autonomy boundaries from Phase 8 as a structured table:
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 First seen · 128 lines · 19 tokens per session scan A 06d6e9682c58
context-instructions is a skill published in the GitHub repository suuus/ape-context (2 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 1,325 once invoked, about $0.0001 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
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…