carbon-report

Files (1)

• SKILL.md

SKILL.md (first lines)

Run the following bash script exactly as written and present the output to the user. Do not paraphrase or reformat the results.

```bash
#!/usr/bin/env bash

# Locate the install (equivalence factors + shared locale lib live in the repo),
# mirroring /carbon-card: status line wiring first, then plugin root, then default.
# Windows (Git Bash): CLAUDE_* variables and the paths stored in settings.json can
# arrive in the native "C:\Users\..." spelling, which bash cannot open. cygpath
# ships with Git for Windows; everywhere else this is the identity function.
ccp() {
  case "${OSTYPE:-}" in msys*|cygwin*) ;; *) printf '%s' "$1"; return 0 ;; esac
  case "$1" in
    [A-Za-z]:[\\/]*|*\\*) cygpath -u "$1" 2>/dev/null || printf '%s' "$1" ;;
    *) printf '%s' "$1" ;;
  esac
}
CFG="$(ccp "${CLAUDE_CONFIG_DIR:-$HOME/.claude}")"
# A jq the installer fetched into the data folder (a Mac older than macOS 15 has none)
if ! command -v jq >/dev/null 2>&1 && [ -x "$CFG/claude-carbon/bin/jq" ]; then PATH="$CFG/claude-carbon/bin:$PATH"; fi
REPO_DIR=""
if command -v jq >/dev/null 2>&1 && [ -f "$CFG/settings.json" ]; then
  SL_CMD="$(jq -r '.statusLine.command // empty' "$CFG/settings.json" 2>/dev/null)"
  # statusLine.command stores a path, shell-escaped, or in double quotes on Windows:
  # unquote, expand ~ and unescape spaces
  SL_CMD="${SL_CMD#\"}"; SL_CMD="${SL_CMD%\"}"
  SL_CMD="${SL_CMD//\\ / }"; SL_CMD="${SL_CMD/#\~/$HOME}"; SL_CMD="$(ccp "$SL_CMD")"
  [ -n "$SL_CMD" ] && [ -f "$SL_CMD" ] && REPO_DIR="$(cd "$(dirname "$SL_CMD")/.." 2>/dev/null && pwd)"
fi
[ -z "$REPO_DIR" ] && [ -n "${CLAUDE_PLUGIN_ROOT:-}" ] && REPO_DIR="$(ccp "$CLAUDE_PLUGIN_ROOT")"
[ -z "$REPO_DIR" ] && [ -n "${CLAUDE_CARBON_DIR:-}" ] && REPO_DIR="$(ccp "$CLAUDE_CARBON_DIR")"
if [ -z "$REPO_DIR" ]; then
  # Pure marketplace installs reach here: settings.json carries no statusLine.command
  # (the status line is wired through plugin.json) and CLAUDE_PLUGIN_ROOT is not in the
  # env of a skill's bash. Pick the newest cached plugin copy, the same scan as
  # statusline.sh CACHE_LATEST, keeping only candidates that ship the equivalence lib.
  CACHE_LATEST=""
  for D in "$CFG/plugins/cache"/*/claude-carbon/*/; do
    [ -f "${D}scripts/equiv-lib.sh" ] || continue
    if [ -z "$CACHE_LATEST" ] || [ "$(printf '%s\n%s\n' "$CACHE_LATEST" "$D" | sort -V | tail -1)" = "$D" ]; then
      CACHE_LATEST="$D"
    fi
  done
  [ -n "$CACHE_LATEST" ] && REPO_DIR="${CACHE_LATEST%/}"
fi
[ -z "$REPO_DIR" ] && REPO_DIR="$HOME/code/claude-carbon"
FACTORS_FILE="$REPO_DIR/data/factors.json"

if ! command -v jq >/dev/null 2>&1 || [ ! -f "$FACTORS_FILE" ] || [ ! -f "$REPO_DIR/scripts/equiv-lib.sh" ]; then
  echo "Error: jq and $REPO_DIR/data/factors.json are required (equivalence factors)." >&2
  exit 1
fi

# Pick the equivalence set from the user locale BEFORE LC_ALL=C below masks it:
# the factors are country-specific (a French car and a US car differ by ~1.7x).
. "$REPO_DIR/scripts/equiv-lib.sh"
EQUIV_SET="$(detect_equiv_set)"

# Force C locale: comma-decimal locales (de_DE, fr_FR) make awk mis-parse
# "431.7045" as 431 and print "431,0" instead of "431.7"
export LC_ALL=C

DB_PATH="$(ccp "${CLAUDE_CARBON_DB:-${CLAUDE_CONFIG_DIR:-$HOME/.claude}/claude-carbon/carbon.db}")"

if [ ! -f "$DB_PATH" ]; then
  echo "Database not found. Run setup.sh first:"
  echo "  bash ${CLAUDE_CARBON_DIR:-$HOME/code/claude-carbon}/scripts/setup.sh"
  exit 1
fi

CURRENT_YEAR="$(date +%Y)"
TODAY="$(date +%Y-%m-%d)"

# Ensure the excluded column exists on pre-existing DBs (idempotent).
# Excluded sessions (non-Anthropic models, e.g. local models) are left out of all aggregates.
sqlite3 "$DB_PATH" "ALTER TABLE sessions ADD COLUMN excluded INTEGER DEFAULT 0;" 2>/dev/null || true
NOT_EXCLUDED="COALESCE(excluded, 0) = 0"

# --- Aggregates ---
TODAY_CO2="$(sqlite3 "$DB_PATH" "SELECT COALESCE(SUM(co2_grams), 0) FROM sessions WHERE ${NOT_EXCLUDED} AND started_at LIKE '${TODAY}%';" | awk '{printf "%.1f", $1}')"
TODAY_SESSIONS="$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM sessions WHERE ${NOT_EXCLUDED} AND started_at LIKE '${TODAY}%';")"

YEAR_CO2="$(sqlite3 "$DB_PATH" "SELECT COALESCE(SUM(co2_grams), 0) FROM sessions WHERE ${NOT_EXCLUDED} AND started_at LIKE '${CURRENT_YEAR}%';" | awk '{printf "%.1f", $1}')"
YEAR_SESSIONS="$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM sessions WHERE ${NOT_EXCLUDED} AND started_at LIKE '${CURRENT_YEAR}%';")"

ALL_CO2="$(sqlite3 "$DB_PATH" "SELECT COALESCE(SUM(co2_grams), 0) FROM sessions WHERE ${NOT_EXCLUDED};" | awk '{printf "%.1f", $1}')"
ALL_SESSIONS="$(sqlite3 "$DB_PATH" "SELECT COUNT(*) FROM sessions WHERE ${NOT_EXCLUDED};")"
ALL_COST="$(sqlite3 "$DB_PATH" "SELECT COALESCE(SUM(cost_usd), 0) FROM sessions WHERE ${NOT_EXCLUDED};" | awk '{printf "%.2f", $1}')"

# --- Car equivalent (all-time total) ---
# Factor: data/factors.json "equivalences", the car row of the detected set, the
# same factor, label and source the cards use; derivations in METHODOLOGY.md
# "Equivalences used in reports". France and undetected locales get ADEME, a US
# locale EPA in miles, everyone else the world average. The other rows of each
# set (Gemini prompt, TGV, steak, phone charge) stay in factors.json, unused here.
IFS='|' read -r CAR_DIVISOR CAR_DECIMALS CAR_LABEL CAR_SOURCE <<< \
  "$(jq -r --arg set "$EQUIV_SET" \
    '.equivalences[$set][] | select(.id == "car") | "\(.divisor)|\(.decimals)|\(.label)|\(.source)"' "$FACTORS_FILE" 2>/dev/null)"
# A malformed or hand-edited factors.json must fail loudly, not print an empty section
if [ -z "${CAR_DIVISOR:-}" ] || [ -z "${CAR_LABEL:-}" ]; then
  echo "Error: could not read the car row of the '$EQUIV_SET' equivalence set from $FACTORS_FILE" >&2
  exit 1
fi
CAR_COUNT="$(echo "$ALL_CO2" | awk -v d="$CAR_DIVISOR" -v p="${CAR_DECIMALS:-0}" '{ fmt = "%." p "f"; printf fmt, $1 / d }')"

# --- Share of a 2 t per-person annual budget (current calendar year) ---
# 2 tCO2e per person per year is the 2050 target for a person's whole footprint
# (Carbone 4 "Faire sa part ?", 2019; ADEME Nos Gestes Climat), used as a scale,
# not as an allowance for AI. It is compared with this calendar year's total only:
# an all-time total against an annual budget would mix two time spans.
# Sources: METHODOLOGY.md "Equivalences used in reports". Kept here rather than in
# data/factors.json: it is not an emission factor and no other script reads it.
BUDGET_GRAMS=2000000
# French layout on the French set (the one whose labels are in French), English otherwise.
BUDGET_LANG="en"; [ "$EQUIV_SET" = "fr" ] && BUDGET_LANG="fr"
BUDGET_FIGURES="$(echo "$YEAR_CO2" | awk -v b="$BUDGET_GRAMS" -v lang="$BUDGET_LANG" '
  # Thousands grouped (space in French, comma in English), decimal comma in French.
  function group(n,   ip, dec, out) {
    ip = n; dec = ""

From gwittebolle/claude-carbon, MIT.

More from gwittebolle/claude-carbon