#!/usr/bin/env bash
set -euo pipefail

# Enforces agentskills.io's skill-authoring.md guidance: keep SKILL.md under 500
# lines and roughly 5,000 tokens, so the full body doesn't crowd out conversation
# history and other active skills once loaded into context. Vale can't express
# a whole-file length ceiling (its checks operate on text patterns, not raw
# file size), so this is a plain script instead of a Vale rule.
#
# Token counts aren't computed exactly here — word count (`wc -w`) is used as
# a proxy. This repo's own SKILL.md corpus measures ~5.7-6.5 characters per
# word, which at the standard ~4-characters-per-token English approximation
# works out to roughly 1.6-1.7 tokens per word. MAX_WORDS below is calibrated
# from that measured ratio against the 5,000-token ceiling, with margin — it's
# still a proxy, not exact BPE tokenization, but now grounded in actual repo
# content rather than an unverified "conservative" assumption.

MAX_LINES=500
MAX_WORDS=2900
FAIL=0

for f in "$@"; do
  [[ -f "$f" ]] || continue

  # awk's NR counts the final line even without a trailing newline, matching
  # Python's splitlines() semantics (used by skill-audit/scripts/validate.sh
  # for its own line count) — `wc -l` undercounts by 1 in that case.
  lines=$(awk 'END{print NR}' "$f")
  if (( lines >= MAX_LINES )); then
    echo "ERROR: $f has $lines lines, at or over the $MAX_LINES-line ceiling (agentskills.io skill-authoring.md)" >&2
    FAIL=1
  fi

  words=$(wc -w < "$f")
  if (( words > MAX_WORDS )); then
    echo "ERROR: $f has $words words (proxy for tokens), exceeding the $MAX_WORDS-word ceiling (~5,000 tokens, agentskills.io skill-authoring.md)" >&2
    FAIL=1
  fi
done

exit $FAIL