GitHub
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Description from the maker (original English)
Lossless context guard for coding agents: command digests, file outlines, line-range reads.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"skimread": {
"command": "uvx",
"args": [
"skimread",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add skimread -- uvx skimread mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"skimread": {
"command": "uvx",
"args": [
"skimread",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"skimread": {
"type": "stdio",
"command": "uvx",
"args": [
"skimread",
"mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026
The registry name was verified with the GitHub account avikchakraborty060-create, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 19 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
A lossless context guard for AI coding agents. Zero dependencies, runs entirely on your machine, MIT licensed. Works with Claude Code out of the box, and with any other agent (Codex, Cursor, Aider, Copilot, your own) through a CLI and an MCP server.
When you use an AI coding agent, you pay for every token it reads. Most of that money goes to two things the agent does not actually need:
pytest -v prints 1,500 PASSED lines to tell you about 2 failures. npm install prints 40 deprecation warnings. cargo build lists every crate it compiled.skimread sits between the agent and those two sources and hands the agent a *skim* first:
PASSED lines are folded into one line that says so.The key word is lossless. Nothing is thrown away. Every command's full output is kept on your disk, and every digest ends with a handle (skimread show 42, skimread show 42 120-180, skimread show 42 --grep TypeError). Every outline tells the agent exactly which line range to read next. The agent is never stuck and never has to re-run a build to see what it missed.
Tools that compress shell output already exist (RTK, token-saver, condense). They share two limits. They cannot touch the agent's own file-reading tool, which is the bigger token sink. And they are lossy: when the compressor drops the one line the agent needed, the agent re-runs the command, and an independent benchmark found that this can cost *more* than not compressing at all. skimread guards file reads too, and keeps everything retrievable.
~/.skimread is the whole state.Measured on real tool output (fixtures in tests/fixtures, reproduce with python bench/bench.py). Token counts are estimates (chars / 3.6).
| Command output | lines | tokens in | tokens out | saved |
|---|---|---|---|---|
| pytest -v (1,504 tests, 2 failing) | 1546 | 33,876 | 473 | 99% |
| vitest --reporter=verbose (579 tests, 3 failing) | 653 | 7,751 | 698 | 91% |
| pytest (65 tests, 3 failing, 60 warnings) | 294 | 3,451 | 496 | 86% |
| npm install (649 packages, 23 deprecation warnings) | 41 | 1,048 | 204 | 81% |
| cargo build (37 crates, 3 warnings) | 61 | 559 | 254 | 55% |
| go test -v (1 fail, 1 panic) | 35 | 301 | 137 | 54% |
| tsc (48 errors in 8 files) | 48 | 1,087 | 628 | 42% |
| cargo test (1 fail, backtrace) | 68 | 713 | 487 | 32% |
| cargo build (2 errors) | 39 | 408 | 411 | -1% |
| vitest (13 files, 3 failing) | 76 | 613 | 628 | -2% |
The last two rows are the point: when the output is already pure signal (a short build with two errors), skimread leaves it alone. Savings come from noise, never from hiding failures.
| File read | lines | full read (tokens) | outline (tokens) | saved when the agent then reads a 60-line slice |
|---|---|---|---|---|
| skimread/outline.py | 598 | 7,648 | 477 | 84% |
| skimread/formats.py | 463 | 4,961 | 569 | 76% |
| skimread/cli.py | 368 | 4,086 | 357 | 75% |
A 4,063-line Go file (net/http/server.go, ~36k tokens) becomes a ~600-token map of structs and methods with line ranges. skimread stats shows what it has saved you so far, in tokens and dollars.
Needs Python 3.9 or newer, nothing else.
pipx install skimread # recommended: isolated, on your PATH
skimread --version
Latest development version straight from GitHub: pipx install git+https://github.com/avikchakraborty060-create/The-top-innovation.
Everything skimread stores lives under ~/.skimread with owner-only permissions and is pruned after 7 days or 300 runs.
skimread setup claude # global: ~/.claude/settings.json
skimread setup claude --project # or per project: .claude/settings.json
Restart Claude Code. That is all. From then on:
Read a file over 400 lines (or 16 KB) without a line range, it gets the outline and the instruction to read a range instead. A ranged read is always allowed. If Claude asks for the same whole file a second time in the session, it gets it, so it is never stuck.npm, pytest, cargo, go, tsc, docker, git diff, find, and about 100 others) the command is rewritten to run through skimread run. Claude sees the digest and the handle. The permission rule Bash( :*) is added so this causes no extra prompts.This is what Claude sees instead of a 2,014-line file:
skimread: src/server.py is 2,014 lines (~20k tokens). Read only the part you need: call Read again
with offset and limit chosen from this outline. Any Read that sets offset or limit is allowed; ... Outline: 2,014 lines, ~20k tokens (python) 1-38 imports 12 import statements 41-118 class Config 44-58 def init(self, path: str) -> None 61-90 def load(self) -> dict 121-410 class Server(Base) 123-140 def init(self, cfg: Config) 142-229 def handle_request(self, req: Request) -> Response ...
And this is what Claude sees after pytest -v on a suite of 1,504 tests:
$ pytest -v test_many.py · exit 1 in 1.2s
============================= test session starts ============================== (1502 passing/skipped tests hidden) test_many.py::test_some_fail[1] FAILED [ 99%] test_many.py::test_some_fail[3] FAILED [100%] =================================== FAILURES =================================== ______________________________ test_some_fail[1] _______________________________ ... E AssertionError: role mismatch for user 1 E assert 'dev' == 'ops' test_many.py:10: AssertionError =========================== short test summary info ============================ FAILED test_many.py::test_some_fail[1] - AssertionError: role mismatch for user 1 FAILED test_many.py::test_some_fail[3] - AssertionError: role mismatch for user 3 ======================== 2 failed, 1502 passed in 0.98s ======================== [skimread #42: 1546 lines, ~34k tok → 473. Full/slice/search: skimread show 42 [A-B | --grep RE]]
Tuning:
skimread setup claude --wrap all # route every safe Bash command through skimread
skimread setup claude --wrap off # Read guard only, leave Bash alone skimread setup claude --uninstall # remove the hook and the permission rule skimread config read_threshold_lines 600 # guard only files longer than this (default 400) skimread config budget 4000 # digest size in characters (default 6000) skimread setup print # just print the settings.json snippet to paste yourself
Safety: the Bash wrapper never touches commands that change shell state (cd at the end, export, source), redirect to files, run in the background, look interactive, or are destructive or privileged (rm, sudo, git push, git commit, curl | sh, and so on). Those run exactly as Claude wrote them, under your normal permission rules. A leading cd dir && … is kept outside the wrapper so the working directory still changes.
Any agent that can run shell commands can use skimread through the CLI. Put this in the agent's rules file (AGENTS.md, .cursorrules, a system prompt); skimread setup agents prints a ready-made snippet:
skimread outline src/server.py # map of the file with line ranges
skimread read src/server.py 142-229 # numbered slice skimread run -c "npm test" # digest + handle (shorthand: skimread npm test) skimread show 42 # full stored output skimread show 42 300-360 # slice skimread show 42 --grep "Error" -C 3 # search with context skimread list # recent runs
Agents that speak MCP can use it as a server instead. skimread mcp is a stdio MCP server with tools run, show, outline, read, list; skimread setup mcp prints the config block for mcpServers. Anything on stdin works too: cmd 2>&1 | skimread pipe --cmd "cmd".
skimread stats # tokens and dollars saved, all time, by format
skimread stats --price 15 # use your model's input price per million tokens skimread stats --json
\r progress bars resolve to their final state, backspaces are applied.PASSED lines, Compiling lines, deprecation warnings (counted), stdlib stack frames. Everything else stays. Unknown tools get the generic path: progress noise removed, exact duplicates counted (line (x5)), runs of near-identical lines folded (… 847 similar lines (159-1005) …).… [768 lines omitted (45-812) — skimread show 42 45-812] ….~/.skimread/out/ .txt before the digest is produced, so the handle in the footer always works.ast module (exact signatures and ranges); JS/TS, Go, Rust, Java/Kotlin/C#/Swift, C/C++, PHP, CSS via declaration regexes plus brace matching; Ruby/Elixir/Lua via indentation; Markdown headings; JSON/YAML/TOML keys; CSV shape; log files (time span, error line numbers); Makefiles, shell functions, SQL statements. Huge files fold members into their parents and truncate with a note rather than pretending to be complete.bash -c in a child process. Shell functions and aliases defined in Claude Code's persistent shell are not visible to it (environment variables and the working directory are).Only the beginning is shown; read the rest in the repo