tokf

tokf.net — a config-driven CLI that compresses command output before it reaches an LLM context.

Commands like git push, cargo test, or docker build produce verbose output full of progress bars, compile noise, and boilerplate. tokf intercepts that output, applies a TOML filter, and emits only what matters. Less context consumed, cleaner signal for the model.

How it works

tokf run git push origin main

tokf looks up a filter for git push, runs the command, and applies the filter. A full push output of 15 lines becomes one:

ok ✓ main

The filter logic lives in plain TOML files — no recompilation required. Anyone can author, share, or override a filter.

Installation

Homebrew (macOS and Linux)

brew install mpecan/tokf/tokf

cargo

cargo install tokf

Build from source

git clone https://github.com/mpecan/tokf
cd tokf
cargo build --release
# binary at target/release/tokf

Claude Code hook

tokf integrates with Claude Code as a PreToolUse hook that automatically filters Bash tool output:

tokf hook install          # project-local (.tokf/)
tokf hook install --global # user-level (~/.config/tokf/)

Usage

Run a command with filtering

tokf run git push origin main
tokf run cargo test
tokf run docker build .

Test a filter against a fixture

tokf test filters/git/push.toml tests/fixtures/git_push_success.txt --exit-code 0

Explore available filters

tokf ls                    # list all filters
tokf which "cargo test"    # which filter would match
tokf show git/push         # print the TOML source

Flags

Built-in filter library

Creating Filters with Claude

tokf ships a Claude Code skill that teaches Claude the complete filter schema, processing order, step types, template pipes, and naming conventions.

Invoke automatically: Claude will activate the skill whenever you ask to create or modify a filter — just describe what you want in natural language:

"Create a filter for npm install output that keeps only warnings and errors" "Write a tokf filter for pytest that shows a summary on success and failure details on fail"

Invoke explicitly with the /tokf-filter slash command:

/tokf-filter create a filter for docker build output

The skill is in .claude/skills/tokf-filter/SKILL.md. Reference material (exhaustive step docs and an annotated example TOML) lives in .claude/skills/tokf-filter/references/.

Writing a filter

Filters are TOML files placed in .tokf/filters/ (project-local) or ~/.config/tokf/filters/ (user-level). Project-local filters take priority over user-level, which take priority over the built-in library.

Minimal example

command = "my-tool"

[on_success]
output = "ok ✓"

[on_failure]
tail = 10

Command matching

tokf matches commands against filter patterns using two built-in behaviours:

Basename matching — the first word of a pattern is compared by basename, so a filter with command = "git push" will also match /usr/bin/git push or ./git push. This works automatically; no special pattern syntax is required.

Transparent global flags — flag-like tokens between the command name and a subcommand keyword are skipped during matching. A filter for git log will match all of:

git log
git -C /path log
git --no-pager -C /path log --oneline
/usr/bin/git --no-pager -C /path log

The skipped flags are preserved in the command that actually runs — they are only bypassed during the pattern match.

Note on run override and transparent flags: If a filter sets a run field, transparent global flags are not included in {args}. Only the arguments that appear after the matched pattern words are available as {args}.

Common fields

command = "git push"          # command pattern to match (supports wildcards and arrays)
run = "git push {args}"       # override command to actually execute

skip = ["^Enumerating", "^Counting"]  # drop lines matching these regexes
keep = ["^error"]                      # keep only lines matching (inverse of skip)

# Per-line regex replacement — applied before skip/keep, in order.
# Capture groups use {1}, {2}, … . Invalid patterns are silently skipped.
[[replace]]
pattern = '^(\S+)\s+\S+\s+(\S+)\s+(\S+)'
output = "{1}: {2} → {3}"

dedup = true                  # collapse consecutive identical lines
dedup_window = 10             # optional: compare within a N-line sliding window

match_output = [              # whole-output substring checks, short-circuit the pipeline
  { contains = "rejected", output = "push rejected" },
]

[on_success]                  # branch for exit code 0
output = "ok ✓ {2}"          # template; {output} = pre-filtered output

[on_failure]                  # branch for non-zero exit
tail = 10                     # keep the last N lines

Template pipes

Output templates support pipe chains: {var | pipe | pipe: "arg"}.

Example — filter a multi-line output variable to only error lines:

[on_failure]
output = "{output | lines | keep: \"^error\" | join: \"\\n\"}"

Example — for each collected block, show only > (pointer) and E (assertion) lines:

[on_failure]
output = "{failure_lines | each: \"{value | lines | keep: \\\"^[>E] \\\"}\" | join: \"\\n\"}"

Lua escape hatch

For logic that TOML can't express — numeric math, multi-line lookahead, conditional branching — embed a Luau script:

command = "my-tool"

[lua_script]
lang = "luau"
source = '''
if exit_code == 0 then
    return "passed"
else
    return "FAILED: " .. output:match("Error: (.+)") or output
end
'''

Available globals: output (string), exit_code (integer), args (table). Return a string to replace output, or nil to fall through to the rest of the TOML pipeline. The sandbox blocks io, os, and package — no filesystem or network access from scripts.

Filter resolution

1. .tokf/filters/ in the current directory (repo-local overrides)
2. ~/.config/tokf/filters/ (user-level overrides)
3. Built-in library (embedded in the binary)

First match wins. Use tokf which "git push" to see which filter would activate.

Token savings tracking

tokf records input/output byte counts per run in a local SQLite database:

tokf gain              # summary: total bytes saved and reduction %
tokf gain --daily      # day-by-day breakdown
tokf gain --by-filter  # breakdown by filter
tokf gain --json       # machine-readable output

Acknowledgements

tokf was heavily inspired by rtk (rtk-ai.app) — a CLI proxy that compresses command output before it reaches an AI agent's context window. rtk pioneered the idea and demonstrated that 60–90% context reduction is achievable across common dev tools. tokf takes a different approach (TOML-driven filters, user-overridable library, Claude Code hook integration) but the core insight is theirs.

License

MIT — see LICENSE.