Finishing a Development Branch
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
Elicit or revise an operational process model, maintain its recoverable workpiece, and construct a checked SDCPN when Petrinaut capabilities are available.
Install Sdcpn Modelling
$ npx skills add hashintel/hash --skill sdcpn-modelling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hashintel/hash sdcpn-modelling --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/hashintel/hash.git skills-src && mkdir -p .claude/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .claude/skills/sdcpn-modelling && 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 "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .claude/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modellingType 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 hashintel/hash --skill sdcpn-modelling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hashintel/hash sdcpn-modelling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashintel/hash.git skills-src && mkdir -p .agents/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .agents/skills/sdcpn-modelling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .agents/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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 hashintel/hash --skill sdcpn-modelling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hashintel/hash sdcpn-modelling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashintel/hash.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .cursor/skills/sdcpn-modelling && 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 "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .cursor/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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/hashintel/hash.git --path libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling--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 hashintel/hash --skill sdcpn-modelling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hashintel/hash sdcpn-modelling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashintel/hash.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .gemini/skills/sdcpn-modelling && 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 "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .gemini/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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 hashintel/hash sdcpn-modellingInstalls 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 hashintel/hash --skill sdcpn-modelling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hashintel/hash.git skills-src && mkdir -p .github/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .github/skills/sdcpn-modelling && 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 "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .github/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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 hashintel/hash --skill sdcpn-modelling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hashintel/hash sdcpn-modelling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hashintel/hash.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling .opencode/skills/sdcpn-modelling && 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 "sdcpn-modelling" agent skill from https://github.com/hashintel/hash/tree/main/libs/%40hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling into .opencode/skills/sdcpn-modelling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sdcpn-modelling", 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.
Facts
- Skill name
sdcpn-modelling- GitHub stars
- 1.7k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 663 words
- Files
- 6 (incl. references)
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Elicit or revise an operational process model, maintain its recoverable workpiece, and construct a checked SDCPN when Petrinaut capabilities are available.
- A process-modelling interview
- SKILL.md covers Before substantive work, Procedure and Resource discipline
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Revision of either artifact
What it does
Sdcpn Modelling is an agent skill from hashintel/hash. Elicit or revise an operational process model, maintain its recoverable workpiece, and construct a checked SDCPN when Petrinaut capabilities are available. Use for a process-modelling interview, Petri net, or analysis or revision of either artifact.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/checks.md`, `references/experiment-configuration.md` and `references/pn-construction.md`).
It sits in Development. The repository describes itself as: 🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation.
When your agent uses it
- A process-modelling interview
- Revision of either artifact
Example prompts
- “/sdcpn-modelling”
What it can do on your machine
Read from SKILL.md and the folder at commit e189ab2. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Sdcpn Modelling loads about 1.3k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 663 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.
Safety
Auto-check passed
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.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 663 words (~1,286 tokens).
“Interleave elicitation, workpiece settlement, supported construction and checks. These are recurring steps, not an interview phase followed by a construction phase. The current conversation may expose only one branch of that lifecycle. Do not claim that an unavailable transition occurred.”
- name
- sdcpn-modelling
Files
SKILL.md and 5 other files (references) in libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling of hashintel/hash.
- SKILL.md
- references/checks.md
- references/experiment-configuration.md
- references/pn-construction.md
- references/profile.md
- templates/workpiece.md
Open the folder on GitHubat commit e189ab2
Compare with similar skills
Sdcpn Modelling 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 |
|---|---|---|---|---|---|---|
| Sdcpn Modelling this skillhashintel/hash | 1.7k | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Finishing a Development Branchobra/superpowers | 296k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 24 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Greplooponyx-dot-app/onyx | 32k | 4 repos | ~3.3k | Automated safety check: Pass | MIT |
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Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
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Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
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Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
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Related
Categories
Questions about Sdcpn Modelling
What does Sdcpn Modelling do?
Elicit or revise an operational process model, maintain its recoverable workpiece, and construct a checked SDCPN when Petrinaut capabilities are available. Sdcpn Modelling is an agent skill from hashintel/hash. Elicit or revise an operational process model, maintain its recoverable workpiece, and construct a checked SDCPN when Petrinaut capabilities are available.
When should I use Sdcpn Modelling?
Sdcpn Modelling fits situations like: A process-modelling interview; revision of either artifact.
How do I install Sdcpn Modelling in Claude Code?
Run `npx skills add hashintel/hash --skill sdcpn-modelling -a claude-code`. Or copy the skill folder (libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling in hashintel/hash) into .claude/skills/sdcpn-modelling in your project. Claude Code loads it when a task matches its description.
How do I install Sdcpn Modelling in Codex?
Run `npx skills add hashintel/hash --skill sdcpn-modelling -a codex`. Or copy the skill folder (libs/@hashintel/brunch-agent/packages/plugin-sdcpn/src/skills/sdcpn-modelling in hashintel/hash) into .agents/skills/sdcpn-modelling in your project. Codex loads it when a task matches its description.
Can I use Sdcpn Modelling in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hashintel/hash --skill sdcpn-modelling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sdcpn-modelling, .gemini/skills/sdcpn-modelling, .github/skills/sdcpn-modelling and .opencode/skills/sdcpn-modelling in your project.
What does Sdcpn Modelling need to run?
SKILL.md names no scripts, command-line tools or credentials: Sdcpn Modelling is instructions for the agent only.
Does Sdcpn Modelling access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Sdcpn Modelling safe to install?
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.
What licence does Sdcpn Modelling use?
Sdcpn Modelling has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Sdcpn Modelling use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 12k tokens, read only when the agent opens those files.
What are the alternatives to Sdcpn Modelling?
Skills that share tags, products or a category with Sdcpn Modelling: Finishing a Development Branch (obra/superpowers, 296k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars), PR Babysitter (openinterpreter/openinterpreter, 69k stars) and Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sdcpn Modelling?
hashintel (a GitHub organization) maintains it in hashintel/hash, which has 1,668 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.
Source: hashintel/hash on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.