Java SDK E2E Test with Replay Snapshot
github/copilot-sdk
Creates a Java SDK end-to-end test for the Copilot SDK that runs against a recorded YAML snapshot through a replay proxy, so CI needs no real authentication.
OpenLDK-local autonomous work loop. An agent skill from atgreen/openldk.
$ npx skills add atgreen/openldk --skill grind -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install atgreen/openldk grind --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/grind .claude/skills/grind && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .claude/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/atgreen/openldk/tree/master/.claude/skills/grindType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add atgreen/openldk --skill grind -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install atgreen/openldk grind --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/grind .agents/skills/grind && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .agents/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atgreen/openldk --skill grind -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install atgreen/openldk grind --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/grind .cursor/skills/grind && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .cursor/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/atgreen/openldk.git --path .claude/skills/grind--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add atgreen/openldk --skill grind -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install atgreen/openldk grind --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/grind .gemini/skills/grind && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .gemini/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install atgreen/openldk grindInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add atgreen/openldk --skill grind -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/grind .github/skills/grind && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .github/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add atgreen/openldk --skill grind -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install atgreen/openldk grind --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/atgreen/openldk.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/grind .opencode/skills/grind && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "grind" agent skill from https://github.com/atgreen/openldk/tree/master/.claude/skills/grind into .opencode/skills/grind/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "grind", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
grindOpenLDK-local autonomous work loop. An agent skill from atgreen/openldk.
Grind is an agent skill from atgreen/openldk. OpenLDK-local autonomous work loop. Survey the Beads queue, pick the highest-value next task (prioritizing correctness and progress toward running real Java on the CLOS/JIT runtime), reprioritize the queue accordingly, then execute it end-to-end with the project's build + regression-gate discipline. Trigger when the user says "/grind", "grind", "pick the next thing and do it", "keep making progress", or wants an autonomous session that decides and works without hand-holding.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with Java. The repository describes itself as: A JIT Compiler and Runtime for Java in Common Lisp. The licence is GPL-3.0.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 23da184. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
makejavacgitFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Grind loads about 2k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 967 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from atgreen/openldk at commit 23da184, republished under its GPL-3.0 licence (© atgreen). 967 words, ~1,982 tokens.
.claude/skills/grind/SKILL.md (or your agent's skills folder).You are advancing OpenLDK: a JIT compiler and runtime for Java (JDK 25)
implemented in Common Lisp (SBCL). It translates Java bytecode to Lisp,
compiles that to native code, maps Java classes to CLOS classes, and runs on
the real headless OpenJDK 25 runtime libraries (jimage/jrt classpath,
field-backed Class metadata, invokedynamic/record/typeSwitch support). The
converging goal: run real, unmodified Java programs correctly — up to and
including javac itself (the javacl image).
/grind = decide what to work on next, reprioritize the queue so that
decision is legible, then do the work to completion. One good increment,
committed and closed, beats a half-finished heroic epic. Prefer correctness and
demonstrable progress toward running real Java over breadth.
bd prime # workflow + memories (if context is stale)
bd ready # claimable work
bd stats # open/blocked/in-progress shape
bd memories java # persistent knowledge (build gotchas, native rules, gate)Skim the recalled Beads memories — especially the build gotcha (JAVA_HOME)
and the regression-baseline notes — before touching anything. Pull the
relevant src/*.lisp file on demand for the subsystem you touch; do not read
all of src/. The runtime core is large:
src/openldk.lisp — main entry, class loading, classpath, bytecode→Lispsrc/native/*.lisp — native JDK method implementations (very large)src/global-state.lisp — global state / special varssrc/monitor.lisp, src/fiber.lisp — monitors, virtual-thread fibersScore candidates in this order and pick the highest that is tractable now:
javacl/javac self-host path.Deprioritize: cosmetic cleanups, speculative features, anything with no line to running-real-Java, and tracking/rollup epics — don't "work" a rollup; decompose it into a concrete child and do that.
When the top candidate is a large epic, carve off the smallest child that delivers real, verifiable value and do that this run.
Build with the right JDK, every time. The shell env exports a stale
JAVA_HOME (openjdk@21, no lib/modules) that silently breaks the build.
Always build explicitly and with pipefail so make's exit code isn't masked:
set -o pipefail
JAVA_HOME=/usr/lib/jvm/java-25-openjdk make openldk 2>&1 | tail -40The real binary is ./openldk (rebuilt by the target above). make check-jdk
fails fast if JAVA_HOME isn't a JDK 25.
Balance parens with the pipe-symbol hazard in mind. |java/lang/Foo|
symbols contain literal parens inside the pipes; reader conditionals
(#+sb-fiber) skip one form but parens must still balance. A naive paren
checker will lie — account for |...| and reader conditionals.
Follow the native-method naming rule (see the recalled Beads memory) when
adding a src/native/*.lisp method that shadows a JDK-provided native.
Don't run heavy openldk work concurrently with the regression gate. The testsuite uses a 40s per-test timeout; a competing load causes spurious thread/exit-test failures (Thread.interrupted, System.exit, Process_*). Run the gate alone.
Make the decision legible by aligning priorities with the rubric — before you start coding:
bd update <id> --priority N.bd comment on anything you re-rank, saying why (e.g.
"raise: wrong-result bug on the reflection path" / "lower: cosmetic, off
critical path"). Keep churn minimal — reprioritize to reflect the plan, not
to reshuffle the whole board.// TODO or a mental
note): bd create "…" -t bug|task -p N. Model blockers with bd dep add.bd update <id> --claimImplement the smallest correct change. Match surrounding Lisp idiom.
Rebuild the real binary (§3) and drive the affected flow — the /verify discipline, not just tests. Wrong-result bugs demand you see the right value now: compile a tiny Java repro and run it:
JAVA_HOME=/usr/lib/jvm/java-25-openjdk /usr/lib/jvm/java-25-openjdk/bin/javac Repro.java
./openldk -cp . Repro # or: LDK_CLASSPATH=. ./openldk ReproRun the fast regression gate and confirm no dropped pass / new failure:
JAVA_HOME=/usr/lib/jvm/java-25-openjdk make check-regressionUse make check for the full mauve suite when the change warrants it. If you
legitimately increase PASS count, consider ratcheting testsuite/baseline.sum
and say so.
Commit with an imperative subject citing the bead id (match the repo's
ldk-xxx: … subject style); end the message with:
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
bd close <id> with the commit hash and what was verified; bd sync.
git push only when the user asks.
Report: what you picked and why (the rubric line it satisfied), the change, how you verified it (the Java repro output + gate result), what you re-ranked, and any new Beads filed. Then pick the next task (repeat) until told to stop or the queue has no tractable correctness/goal work left — at which point say so plainly rather than inventing busywork.
© atgreen, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/grind of atgreen/openldk.
Open the folder on GitHubat commit 23da184
Grind next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Grind this skillatgreen/openldk | 271 | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Java SDK E2E Test with Replay Snapshotgithub/copilot-sdk | 11k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Uitestmicrosoft/vscode-java-dependency | 199 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Android Audio E2Ehyochan/react-native-nitro-sound | 961 | — | ~814 | Automated safety check: Pass | MIT | |
| Edt MCP Build TestDitriXNew/EDT-MCP | 295 | — | ~1.4k | Automated safety check: Pass | AGPL-3.0 | |
| Edt MCP E2E TestingDitriXNew/EDT-MCP | 295 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 |
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Works with
OpenLDK-local autonomous work loop. An agent skill from atgreen/openldk. Grind is an agent skill from atgreen/openldk. OpenLDK-local autonomous work loop.
Grind fits situations like: the user says /grind; pick the next thing and do it; keep making progress; wants an autonomous session that decides and works without hand-holding.
Run `npx skills add atgreen/openldk --skill grind -a claude-code`. Or copy the skill folder (.claude/skills/grind in atgreen/openldk) into .claude/skills/grind in your project. Claude Code loads it when a task matches its description.
Run `npx skills add atgreen/openldk --skill grind -a codex`. Or copy the skill folder (.claude/skills/grind in atgreen/openldk) into .agents/skills/grind in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add atgreen/openldk --skill grind -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grind, .gemini/skills/grind, .github/skills/grind and .opencode/skills/grind in your project.
Going by SKILL.md and its folder, Grind needs the command-line tools its instructions call (make, javac and git).
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Grind is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Grind: Java SDK E2E Test with Replay Snapshot (github/copilot-sdk, 11k stars), Uitest (microsoft/vscode-java-dependency, 199 stars), Android Audio E2E (hyochan/react-native-nitro-sound, 961 stars) and Edt MCP Build Test (DitriXNew/EDT-MCP, 295 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
atgreen (a GitHub user) maintains it in atgreen/openldk, which has 271 GitHub stars. The repository was last updated on August 27, 2026.
Source: atgreen/openldk on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.