Context cost

Skill HorizonBrute/Standardized_AI_Looping_Language-SAILL/skills/context-cost

Standardized AI Looping Language

Install

npx -y skills add HorizonBrute/Standardized_AI_Looping_Language-SAILL --skill context-cost

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Report harness context overhead (KB, words, estimated tokens) for a given path by walking the directory tree and collecting all CLAUDE.md, agents.md, and @-import files the harness auto-loads. Use when the user types /context-cost or /ctx-cost, or wants to know what files are loading into context.

SKILL.md

2.3 KB, as published. Nobody here has run it

Skill: /context-cost

Model preference: #lowcost

Report how much context overhead the harness will auto-load for a given path — walking up the directory tree and collecting every CLAUDE.md, CLAUDE.local.md, agents.md, and @-import file pulled in at session start.

Arguments

/context-cost [path]

path — optional; defaults to the current working directory if omitted.

Step-by-step execution

Step 1 — Locate the script

Find context_cost.py in the bin/ directory of the SAILL repo. If you are running from within a tested_implementation directory, the script is at ../../bin/context_cost.py relative to your working directory. If running from the repo root, it is at bin/context_cost.py.

Run:

python <path-to-bin>/context_cost.py <target-path> --json

If the script is not found, report its expected location and stop.

Step 2 — Parse and format the output

The JSON structure is:

{
  "path": "...",
  "files": [
    {"level": N, "path": "...", "kb": N, "words": N, "tokens": N, "imported_by": "..." or null}
  ],
  "total_kb": N,
  "total_words": N,
  "total_tokens": N
}

Step 3 — Present the report

3.1 Print: Context overhead for: <path>

3.2 Print a table sorted by level (outermost first):

Level  File                              KB     Words   ~Tokens
-----  --------------------------------  -----  ------  -------
  0    CLAUDE.md                         1.2    210     280
  1    agents.md                         3.4    580     775
       (imported by CLAUDE.md)

Show (imported by <basename>) on a sub-line when imported_by is non-null.

3.3 Print totals:

Total: N files — X.X KB — Y words — ~Z tokens

3.4 Threshold flags:

If total_tokens >= 20000: [WARN] High context load: ~Z tokens. Consider trimming @-imports.
Else if total_tokens >= 8000: [NOTE] Moderate context load: ~Z tokens. Worth reviewing.
Otherwise: no flag.