AGENT SKILL

context-budget-planner

Estimates the implementation phase's token footprint from spec, test plan and affected files, and recommends compaction before context runs out. Use when a graduated or full lane change moves from planning to implementation.

License 许可
MIT
所属仓库
Eliyce/paqad-ai
最近更新
2026-11-13
Stars
★ 8
Forks
0

01 前言 Front Matter

name
context-budget-planner
metadata
{ "cacheable": "false", "model_tier": "fast", "paqad-meta": "skill.meta.yaml", "output_format": "markdown" }
description
Estimates the implementation phase's token footprint from spec, test plan and affected files, and recommends compaction before context runs out. Use when a graduated or full lane change moves from planning to implementation.

02 资源文件 7

03 SKILL.md 正文

What It Does

Predicts the token footprint of the upcoming implementation phase before it starts. Reads spec size, test plan size, affected module docs, and known changed files; sums their token cost using the per-line weights in the heuristics reference; compares against the available budget; and recommends compaction when the estimate would push the session into the Amber or Red tier.

The point is to catch starvation before it happens, not after compaction has already evicted decisions mid-task.

Use This When

Once at the boundary between planning and implementation in the graduated and full lanes: after acceptance criteria and test plan exist, before the first source file is opened. Skip in the fast lane; the overhead is not justified for low-complexity work.

Inputs

  • Read the active spec at spec_path first.
  • Read test_plan_path when supplied.
  • Read each module doc in affected_module_doc_paths only enough to compute its line count.
  • Read references/budget-heuristics.md before applying any threshold so the per-line weights and tier boundaries stay consistent across runs.

Procedure

  1. Determine the project's model context window (from project profile) and committed tokens (default 200000 / 30000 if not declared).
  2. Pick per-line weights from references/budget-heuristics.md (or assets/weights.default.txt if the project has none yet).
  3. Pipe <weight> <path> rows into scripts/estimate-tokens.sh --available <N> --committed <N>: it line-counts, multiplies, sums, picks the tier, and emits the markdown block.
  4. When the script reports Amber or Red, fill the compaction list using the priority order from references/budget-heuristics.md.
  5. Validate the final output with scripts/lint-output.sh.

Output Contract

  • Match assets/output.template.md: ## Context Budget, single Summary: line, ### Per-Artifact Estimate table, ### Recommended Compactions.
  • Green/Yellow → Recommended Compactions: none exactly. Amber/Red → ordered list with one-line reasons.
  • Output must pass scripts/lint-output.sh (exit 0).

Escalate / Stop Conditions

  • Ask when the project profile declares no model context window and the default would clearly overcommit.
  • Warn when Tier: red is reached even after applying every available compaction: implementation should be split into smaller stories rather than starting with no headroom.
  • Do not recommend evicting the active spec, the rules constitution, the project profile, or the active decision packet under any tier.

Resources

  • references/budget-heuristics.md
  • scripts/estimate-tokens.sh
  • scripts/lint-output.sh
  • assets/output.template.md
  • assets/weights.default.txt
  • agents/openai.yaml

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