Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Serves a directory of Agent Skills over MCP: list, load, read files, run declared scripts
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
SKILLS_DIR필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"skill": {
"command": "npx",
"args": [
"-y",
"@chrischall/skill-mcp"
],
"env": {
"SKILLS_DIR": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add skill --env SKILLS_DIR=your-value -- npx -y @chrischall/skill-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"skill": {
"command": "npx",
"args": [
"-y",
"@chrischall/skill-mcp"
],
"env": {
"SKILLS_DIR": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"skill": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@chrischall/skill-mcp"
],
"env": {
"SKILLS_DIR": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
SKILLS_DIR env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 chrischall 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.2.3)은 8일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Draugr
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server that serves a directory of Agent Skills. Point it at skills; it lists them, hands out their instructions and their bundled files, and runs only the scripts a skill declares.
It is a generic adapter, not a curated set: the skills are content it reads, and the same build serves whatever it is pointed at.
npx @chrischall/skill-mcp # serves the example skill bundled here
SKILLS_DIR=~/my-skills npx @chrischall/skill-mcp
The npm package is `@chrischall/skill-mcp` (unscoped skill-mcp is taken by someone else on npm). Everything else — the repo, the binary, the registry identity io.github.chrischall/skill-mcp — is unscoped.
A directory holding SKILL.md: YAML frontmatter (name, description, and optionally the mcp-host: block below) followed by instructions, plus whatever files those instructions refer to. Three layouts are found under each root:
<root>/SKILL.md # the root IS one skill
/ /SKILL.md # a directory of skills /skills/ /SKILL.md
A skill is served under its DIRECTORY name, never under the name in its own frontmatter (a frontmatter name that disagrees is reported and otherwise ignored; where the root itself is the skill, the root directory names it). That is a security rule, not a tidiness one: the owner's grant names a skill, so a bundle that could choose its own name could claim its neighbour's and be handed the neighbour's granted script and granted variables. For the same reason, two directories that really do contribute one name — only possible across two roots — have both refused and reported, rather than one of them winning by scan order.
| tool | arguments | returns |
|---|---|---|
skill_list | — | every skill found: name, description, when to use it, file count, whether it declares runnable scripts and exactly which; plus problems, so an empty list is never a mystery |
skill_load | name | the SKILL.md body verbatim, plus a manifest of the bundle's files. Referenced files are not inlined — that is what skill_file is for |
skill_file | name, paths[] | one entry per path, in request order: text, or base64 with its media type, or that path's own error. At most 1 MiB per entry, truncated: true rather than a silent cut |
skill_run | name, script, args[], confirmToken | {exitCode, stdout, stderr, truncated, durationMs} |
skill_file takes a paths[] batch, so the files a SKILL.md points at come back in one round trip: at most 8 paths per call, 1 MiB per entry and 4 MiB per call (summed from file sizes before a byte is read, so the answer never depends on the order the paths were listed in). One bad path fails only its own entry — the rest of the batch is still served. Read the caps as bounds on this server's own heap: they cap the allocation, not only the answer, because a hosted child has a hard 256 MiB data limit and a bundle may be larger than that.
Each skill is also registered as an MCP prompt (its body is the message) and each bundled file as a resource (skill:// / ), because a client that supports those surfaces presents a skill better than a tool call does. It is a second door, never the only one: when this server runs on mcp-host and a registration narrows enabledTools, prompts/list and resources/list come back empty and the handshake stops advertising those capabilities — so the tools carry the whole experience.
Anything that keeps a directory from being served comes back in skill_list's problems, with the path and the reason: no SKILL.md, frontmatter that will not parse, a name two directories both claim (both refused), a declared script that is not in the bundle, a symlink leading out of the root or out of a skill, a filename the read tools could not address. One bad skill costs itself and never the listing, and there is no third outcome where something is dropped in silence — a symlinked skill directory is served when it stays inside the root (so skills/foo -> ../shared/foo works) and reported when it does not. It is served under its *target* directory's name — skills/foo -> ../bar is the skill bar, reported as a name-mismatch so a grant is written against the right name — and a directory reached twice (a link to a skill that is also listed directly) is one skill, not a duplicate.
Each entry in problems is {path, reason, detail}. detail is prose for a person; reason is the stable value to switch on.
| reason | meaning |
|---|---|
root-unreadable | a configured root could not be read at all |
no-skill-md | a candidate directory holds no SKILL.md |
unreadable-skill-md | SKILL.md is not a regular file, or could not be read |
malformed-frontmatter | the frontmatter does not parse |
declaration | the mcp-host: block was refused, or carries an unknown key (named in detail); the skill's scripts are affected, its instructions are not |
duplicate-name | two directories contribute one skill name; both are refused |
name-mismatch | the frontmatter name disagrees with the directory name, which wins |
unusable-name | the directory's own name is not addressable, so the skill is skipped |
declared-script-missing | a declared script is not in the bundle |
symlink-escape | a symlink leads out of the root or out of a skill |
unusable-path | a filename the read tools could not address, left out of the manifest |
file-limit | a skill holds more files or directories than the per-skill cap (2000 each); the manifest lists what was walked |
skill-limit | more skills than MAX_SKILLS (32) were found; the rest are ignored |
grant | MCP_SKILL_RUN names a script the skill does not declare, so that row grants nothing |
environ-unscrubbed | hosted, and the exec-time environment block could not be wiped, so no script runs (see the env allowlist note below) |
The set is additive. New reasons arrive without a major version bump (environ-unscrubbed is the most recent), so a client that switches on reason must treat a value it does not recognise as a generic problem and show its detail, never fail on it.
skill_run executes third-party code. Every rule below narrows which code runs and what it is handed; each has its own test.
scripts/", not "anything executable". An undeclared path is refused, saying it must be declared and listing the ones that are./, no . or .., no backslash, no percent escape, no NUL) and then again after resolution: the real path, with symlinks followed, must still be inside the skill's real directory, and it must be a regular file. Both checks, because a string check alone misses a symlink planted inside the bundle and a resolved check alone accepts shapes that should never have been joined. The same discipline governs skill_file: a read out of a skill directory is another skill's bundle at best.spawn with shell: false, no interpolation, no sh -c. Arguments are passed through verbatim.truncated: true rather than a silent cut, and one skill_run at a time. On timeout the process group is signalled, which reaches the script and any child that stayed in its group. It does not reach a grandchild that detached into a group of its own, and such a grandchild also holds the stdio pipes open — so the run settles on the process exiting plus a short drain, under a hard deadline, rather than on the pipes closing. That is what guarantees the tool call returns within its budget and frees the one-at-a-time lock; it is not a guarantee that a deliberately detached grandchild is dead. Bounding *that* is the tier's job (an unprivileged uid, prlimit NPROC, and a machine that stops), not this adapter's.PATH, HOME, LANG, TZ, TMPDIR, MCP_DATA_DIR when the host set one, the egress proxy variables (HTTP_PROXY, HTTPS_PROXY, http_proxy, https_proxy, NO_PROXY, no_proxy, NODE_USE_ENV_PROXY) when the host set them — on mcp-host's isolated tier the network is fenced and a script without them cannot reach even an allowlisted host — and exactly the variables that script asked for and the owner granted — never this server's own environment. The fixed half mirrors mcp-host's INSTALL_ALLOWLIST (packages/runner-node/src/spawn-env.ts), for the reason that file gives: a host constant a hosted declaration cannot widen by one name. This decides what a script is handed, not what a hostile script can reach. A script runs as the same uid as this server. On Linux a same-uid process can read /proc/ /environ, so at boot the server wipes that exec-time environment block (src/scrub-environ.ts; process.env keeps every value) and that one-line read comes back empty. If a kernel or sandbox refuses that wipe, a hosted server runs no script at all — skill_run refuses and skill_list reports environ-unscrubbed — unless the owner sets MCP_SKILL_ALLOW_UNSCRUBBED=1; standalone it only warns on stderr. The values still live in the server's memory, reachable through ptrace or /proc/ /mem on a kernel at Yama ptrace_scope = 0. Real isolation between skills that do not trust each other needs the tier (a distinct uid for scripts, /proc mounted hidepid=2, or a non-dumpable server); until then, only put skills in one registration if you would give each of them every credential it holds.MCP_CONFIRM_ELICITATION=off. Otherwise the first call starts no process and returns status: "confirmation-required" with a preview of exactly what would run — the interpreter, the argv, the working directory, the timeout, and the names of the variables the script would be handed (field by field in the preview) — plus a confirmToken. Only a repeat call with the same arguments and that token runs the script, once. A token is bound to that exact run: changing the skill, script or argv is refused as DRAFT_CHANGED, and a used token as TOKEN_REUSED. See Confirmations.skill_run previewThe first call's preview.willRun is what the user approves, and it is the confirmToken's payload: the token is bound to it. Names only — never a value.
| field | |
|---|---|
skill | the skill, by its directory name |
interpreter | the declared interpreter (node) |
argv | the script path followed by the arguments, exactly as they will be passed |
cwd | the skill's own directory, where the script runs |
timeoutMs | the wall-clock budget, after the 300 s clamp |
| envNames | every variable the script will be handed, sorted — not onl
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