agentleFS
SAY-5SAY-5/context-surgeon/skill-package/SKILL.md

context-surgeon

Skill0 starsChanged 7 months agoMITView on GitHub

Audit what Claude Code loads into context before the user types — total always-on tokens, per-source breakdown, and findings across four categories (clipped skill descriptions, rules that never apply, duplicates, possible conflicts). Use when the user asks about CLAUDE.md size, token budget, agent config bloat, whether a skill is being truncated, why a rule seems to be ignored, or what's eating their context window.

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2 other projects use a version of this.

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  • Other versions2 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 2

    1. edenbuilds/agentloop★ 0same name
    2. Feli2arias/context-surgeon★ 0same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 1 is distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When this skill activates, do the following:

    line 10
  2. Very specific:

    Run npx context-surgeon audit --json in the current working directory.

    line 14
  3. Very specific:

    If npx context-surgeon is not available, tell the user: "This skill requires context-surgeon.

    line 16
  4. Very specific:

    If the report contains any possible-conflict findings and the mode is "estimate", mention once per session (not per finding): "Offline mode …

    line 47
  5. Very specific:

    If the user says "run in exact mode" or similar, check process.env.ANTHROPIC_API_KEY.

    line 55

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

context-surgeon — Claude Code skill

When this skill activates, do the following:

1. Run the audit

Run npx context-surgeon audit --json in the current working directory. If the user has set ANTHROPIC_API_KEY, the CLI auto-upgrades to exact token counts and real conflict classification; you don't need to pass anything special.

If npx context-surgeon is not available, tell the user: "This skill requires context-surgeon. Install with npm install -g context-surgeon, then re-run."

2. Parse the JSON report

The CLI writes a single JSON object to stdout with these top-level fields:

  • cwd, total, contextWindow, mode ("estimate" or "exact")
  • sources: array of { path, kind, scope, bucket, tokens, label }
  • findings: array of objects with kind, severity, estimatedTokensReclaimed, plus finding-specific fields

Group findings by kind:

  • clipped — skill metadata past the 1,536-char menu limit
  • path-mismatch — rule's paths: frontmatter matches no files in the repo
  • language-mismatch — rule references a language the repo doesn't use
  • duplicate — paragraph-level near-identical text across two files
  • possible-conflict — topically-similar paragraphs (offline mode only)
  • conflict — Claude Haiku verdict that two paragraphs contradict (exact mode)

3. Summarize in your own voice

Lead with the headline numbers:

Your always-on context is N tokens before you type. I found X warnings and Y notes — ~Z tokens reclaimable if you act on the warnings.

Then, per finding: name the file by short path, describe the issue in one sentence, and propose a concrete edit. Not "fix it" — "delete lines 15–22 of .claude/rules/python-legacy.md, or delete the file if this repo will never have Python."

For duplicate findings: show both paths + line numbers. Recommend keeping one copy.

4. Notes about possible-conflicts

If the report contains any possible-conflict findings and the mode is "estimate", mention once per session (not per finding): "Offline mode can only flag candidate pairs on similar topics. Set ANTHROPIC_API_KEY and re-run for Claude Haiku to classify real contradictions vs. just-related paragraphs."

5. Do not auto-edit

Propose edits as unified diffs or specific "delete line X" instructions. Ask before modifying files. If the user says "go ahead" or "apply them," then proceed — but one file at a time, confirming after each.

6. Exact-mode re-run

If the user says "run in exact mode" or similar, check process.env.ANTHROPIC_API_KEY. If set, re-run npx context-surgeon audit --json; the CLI picks up the key automatically. If not set, ask the user to export it first.

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