Reproduce Chat States
different-ai/openwork
Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.
Plan and execute an odin spec. An agent skill from deepklarity/harness-kit.
$ npx skills add deepklarity/harness-kit --skill hk-local-run-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install deepklarity/harness-kit hk-local-run-spec --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/deepklarity/harness-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .claude/skills/hk-local-run-spec && 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 "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .claude/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-specType 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 deepklarity/harness-kit --skill hk-local-run-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install deepklarity/harness-kit hk-local-run-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepklarity/harness-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .agents/skills/hk-local-run-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .agents/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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 deepklarity/harness-kit --skill hk-local-run-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install deepklarity/harness-kit hk-local-run-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepklarity/harness-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .cursor/skills/hk-local-run-spec && 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 "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .cursor/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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/deepklarity/harness-kit.git --path .claude/skills/hk-local-run-spec--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 deepklarity/harness-kit --skill hk-local-run-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install deepklarity/harness-kit hk-local-run-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepklarity/harness-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .gemini/skills/hk-local-run-spec && 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 "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .gemini/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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 deepklarity/harness-kit hk-local-run-specInstalls 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 deepklarity/harness-kit --skill hk-local-run-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/deepklarity/harness-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .github/skills/hk-local-run-spec && 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 "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .github/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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 deepklarity/harness-kit --skill hk-local-run-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install deepklarity/harness-kit hk-local-run-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/deepklarity/harness-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/hk-local-run-spec .opencode/skills/hk-local-run-spec && 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 "hk-local-run-spec" agent skill from https://github.com/deepklarity/harness-kit/tree/main/.claude/skills/hk-local-run-spec into .opencode/skills/hk-local-run-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hk-local-run-spec", 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.
hk-local-run-specPlan and execute an odin spec. An agent skill from deepklarity/harness-kit.
Hk Local Run Spec is an agent skill from deepklarity/harness-kit. Plan and execute an odin spec. Handles working directory, auth, nested-session detection, and post-run diagnostics. Use whenever the user wants to run a spec, test a spec, or do a smoke test. Triggers on: 'run this spec', 'test this spec', 'odin plan', 'smoke test', or /hk-local-run-spec.
Its SKILL.md is about 920 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Testing & QA, covering QA and bug reports. The repository describes itself as: A kit for building with AI agents and also the engineering patterns around it. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 87305cd. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
BashReadFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitpythonclaudeFrom 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 these keys or tokens, usually read from environment variables:
ODIN_ADMIN_PASSWORDFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hk Local Run Spec loads about 924 tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 271 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 noted patterns worth knowing about, such as sudo or a known installer.
that `temp_test_dir/` exists and has a `.env`:ls "$WORK_DIR/.env" 2>/dev/nulltemp_test_dir/ not found or missing .env.est_dir && cp .env.example temp_test_dir/.envThen edit temp_test_dir/.env with your ODIN_ADMIN_USER and ODIN_ADMIN_PASSWORD.allowed-tools: Bash, ReadAutomated 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 deepklarity/harness-kit at commit 87305cd, republished under its MIT licence (© deepklarity). 271 words, ~924 tokens.
.claude/skills/hk-local-run-spec/SKILL.md (or your agent's skills folder).Run the full odin spec workflow: plan, review, execute. Handles the gotchas so you don't have to remember them.
/hk-local-run-spec ../sample_specs/poem_spec.md
/hk-local-run-spec ../sample_specs/poem_spec.md --quick
/hk-local-run-spec ../sample_specs/poem_spec.md --mock
/hk-local-run-spec --exec-only a1b2Parse $ARGUMENTS to extract:
--exec-only): path to the spec markdown file--quiet mode (non-interactive, spinner only)--mock to exec (no backend writes)Odin plan/exec invokes claude -p as a subprocess. It cannot run from inside another Claude Code session. Nested Claude Code calls fail silently or hang.
This skill detects the nested session and provides the user with copy-paste commands instead of trying to run them directly.
Check if we're inside a Claude Code session:
# Claude Code sets this env var when running
echo "${CLAUDE_CODE_ENTRYPOINT:-not_set}"If we're inside Claude Code (the var is set or we detect we're in an agent context), we cannot run odin plan/exec directly. Instead, provide copy-paste commands.
REPO_ROOT=$(git rev-parse --show-toplevel)
WORK_DIR="$REPO_ROOT/odin/temp_test_dir"Check that temp_test_dir/ exists and has a .env:
ls "$WORK_DIR/.env" 2>/dev/nullIf missing, tell the user:
temp_test_dir/ not found or missing .env.
Create it: cd odin && mkdir -p temp_test_dir && cp .env.example temp_test_dir/.env
Then edit temp_test_dir/.env with your ODIN_ADMIN_USER and ODIN_ADMIN_PASSWORD.Build the commands based on arguments:
Plan phase (skip if --exec-only):
cd "$WORK_DIR" && odin plan <spec_path> --quietIf --quick was passed, use --quiet (which implies --auto). Otherwise default to --auto for non-interactive execution.
Review phase (skip if --exec-only):
cd "$WORK_DIR" && odin specs
cd "$WORK_DIR" && odin statusExec phase:
cd "$WORK_DIR" && odin exec <task_id> [--mock]Since we're almost always inside Claude Code (that's where this skill runs), output the commands for the user to copy-paste into a regular terminal:
## Spec Run Commands
Run these from a regular terminal (not inside Claude Code):
### 1. Plan
cd <WORK_DIR> && odin plan <spec_path> --auto
### 2. Review
cd <WORK_DIR> && odin specs
cd <WORK_DIR> && odin status
### 3. Execute (run for each task)
cd <WORK_DIR> && odin exec <task_id> [--mock]
### 4. Post-run diagnostic
cd <REPO_ROOT>/taskit/taskit-backend && python testing_tools/spec_trace.py <spec_id> --briefIf --exec-only was passed, skip the plan/review sections and only show the exec + diagnostic commands.
Always remind the user to run the diagnostic after execution:
After execution completes, check results with:
/hk-local-diagnose spec <spec_id> --briefThis connects the two skills into a natural workflow.
© deepklarity, MIT. 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/hk-local-run-spec of deepklarity/harness-kit.
Open the folder on GitHubat commit 87305cd
Hk Local Run Spec 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 |
|---|---|---|---|---|---|---|
| Hk Local Run Spec this skilldeepklarity/harness-kit | 100 | — | ~924 | Automated safety check: Notes | MIT | |
| Reproduce Chat Statesdifferent-ai/openwork | 24k | — | ~673 | Automated safety check: Pass | Custom licence | |
| Dynamo Jira TicketDynamoDS/Dynamo | 2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Moav E2EMotherofallVPNs/MoaV | 449 | — | ~1.9k | Automated safety check: Notes | MIT | |
| Creating A Coral TaskHuman-Agent-Society/CORAL | 1.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Launch Rlmarin-community/marin | 3.9k | — | ~894 | Automated safety check: Pass | Apache-2.0 |
different-ai/openwork
Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.
DynamoDS/Dynamo
Create structured Jira tickets for Dynamo from bug reports, failing tests, or feature requests.
MotherofallVPNs/MoaV
Run and debug MoaV's end-to-end tests — real protocol connectivity (client-test.sh) and the moav CLI smoke test — against a LIVE server, via the self-hosted e2e workflow or a local test VPS.
Human-Agent-Society/CORAL
Author a new CORAL task — the three pieces that must line up (task.yaml, seed/, a packaged grader/), the coral init → coral validate → smoke-test loop, and how to pick a grader pattern (stdout…
marin-community/marin
Define, validate, submit, or restart a Marin SkyRL experiment through its artifact main.
actionbook/actionbook
Run browser-based web tests against websites using Actionbook CLI.
deepklarity/harness-kit
Create new skills, modify and improve existing skills, and measure skill performance.
deepklarity/harness-kit
Run comprehensive agent-native architecture review with scored principles.
deepklarity/harness-kit
Mock-first, layer-by-layer feature development. An agent skill from deepklarity/harness-kit.
deepklarity/harness-kit
Audit whether an AI agent can autonomously close the loop on problems in a given area — from discovering a symptom to verifying a fix — without human intervention.
deepklarity/harness-kit
Traces a workflow end-to-end through the harness-kit monorepo and creates a breadcrumb analysis doc in docs/breadcrumbanalysis/.
deepklarity/harness-kit
Generate changelog entries from git diffs, prepend to CHANGELOG.md, and optionally commit + PR.
Categories
Plan and execute an odin spec. An agent skill from deepklarity/harness-kit. Hk Local Run Spec is an agent skill from deepklarity/harness-kit. Plan and execute an odin spec.
Hk Local Run Spec fits situations like: the user wants to run a spec; do a smoke test; : run this spec; /hk-local-run-spec.
Run `npx skills add deepklarity/harness-kit --skill hk-local-run-spec -a claude-code`. Or copy the skill folder (.claude/skills/hk-local-run-spec in deepklarity/harness-kit) into .claude/skills/hk-local-run-spec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add deepklarity/harness-kit --skill hk-local-run-spec -a codex`. Or copy the skill folder (.claude/skills/hk-local-run-spec in deepklarity/harness-kit) into .agents/skills/hk-local-run-spec 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 deepklarity/harness-kit --skill hk-local-run-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hk-local-run-spec, .gemini/skills/hk-local-run-spec, .github/skills/hk-local-run-spec and .opencode/skills/hk-local-run-spec in your project.
Going by SKILL.md and its folder, Hk Local Run Spec needs the command-line tools its instructions call (git, python and claude) and credentials named ODIN_ADMIN_PASSWORD. Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash, Read.
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 notes only (mentions a .env file; pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Hk Local Run Spec is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 924 tokens (SKILL.md is roughly 3.7k 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 Hk Local Run Spec: Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars), Moav E2E (MotherofallVPNs/MoaV, 449 stars) and Creating A Coral Task (Human-Agent-Society/CORAL, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
deepklarity (a GitHub organization) maintains it in deepklarity/harness-kit, which has 100 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on July 15, 2026.
Source: deepklarity/harness-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.