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 rules/gosha70/code-copilot-team/token-efficiencygit clone --depth 1 https://github.com/gosha70/code-copilot-teamWhat 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 | $0.00024 | $0.00977 |
| Opus 5 | $0.00012 | $0.00489 |
| Sonnet 5 | $0.00005 | $0.00195 |
| Haiku 4.5 | $0.00002 | $0.00098 |
Grade A, and why
token-efficiency 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token Efficiency
Practices to minimise token waste across all sessions.
Context Management
- Do not re-send large context blocks. Reference existing files by path instead.
- Use /compact when context window grows large.
- Load only relevant file sections, not entire large files.
- One task per session where practical. Flush context between unrelated tasks.
Output Format
- Return diffs, not full file rewrites.
- Keep explanations concise — bullets over paragraphs.
- Do not repeat information the user already knows.
- Do not generate boilerplate unless asked.
File References
- When prior context is needed, read doc_internal/CONTEXT.md (if it exists in the project) rather than re-generating from scratch.
- For architecture context, reference doc_internal/ARCHITECTURE.md rather than re-explaining the system.
Task Budgets (Opus 4.7, public beta — API only)
An advisory token budget for the full agentic loop, not a single request. Currently public beta on Opus 4.7 via the API; not available in Claude Code or Cowork at launch.
- Set via
output_config.task_budget: {type: "tokens", total: N}in the API request. - Minimum
total: 20,000 tokens. - The model sees a running countdown of the budget and self-regulates: prioritizes higher-value work first, finishes gracefully as the budget approaches zero rather than getting cut off mid-thought.
- Advisory, not enforced.
max_tokensis still the hard cap per individual request.task_budgetshapes behavior across the loop; it does not stop a request from completing.
How it composes with effort:
effortcontrols depth per step (how hard Claude thinks about each turn).task_budgetcontrols breadth across the loop (how much total work Claude attempts before wrapping up).- Use both together for long agentic runs where you care about end-to-end token cost.
/btw — Side Questions Without Polluting Context
Opus 4.7 introduces /btw <question> for quick sidebar questions that never enter conversation history.
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 · 77 lines · 24 tokens per session scan A 564aa5445cd2
token-efficiency is a cursor rule published in the GitHub repository gosha70/code-copilot-team (6 stars, last pushed 2d ago), licensed MIT. It adds 24 tokens to every session and 977 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.
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