Creator · jinzhezenggroup
Last updated · Sep 4, 2026
Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclin
Creator · jinzhezenggroup
Last updated · Sep 4, 2026
Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclin
Creator · jinzhezenggroup
Last updated · Sep 4, 2026
Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclin
Creator · jinzhezenggroup
Last updated · Sep 4, 2026
Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclin
Sandbox only
Install targets
Codex install prompt
Install the "reacnetgenerator" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/analysis/reacnetgenerator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jinzhezenggroup-reacnetgenerator","task":"Install reacnetgenerator","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Maintenance
fresh
3d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
135
68/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
135 GitHub stars
Repo activity
135 stars, 27 forks
Maintenance
3d since push
License
LGPL-3.0-or-later
Install
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorDo not use when
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npx skills add Alisa0808/vox-director --skill vox-director
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
Agent should check
Copy prompt
Task: Use reacnetgenerator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install
Install command: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
LLM text format
/api/skills/jinzhezenggroup-reacnetgenerator/install?format=text
Find alternatives
/api/skills/search?q=reacnetgenerator&limit=3
Agent prompt
Use reacnetgenerator for this task. Review https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install, then install with: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jinzhezenggroup-reacnetgenerator
LLM text
/api/registry/manifest/jinzhezenggroup-reacnetgenerator?format=text
Install alias
/api/registry/install/jinzhezenggroup-reacnetgenerator
Recommend
/api/registry/recommend?task=Use%20reacnetgenerator%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO135 GitHub stars
Stars/forks activity
CHECK135 stars, 27 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSLGPL-3.0-or-later
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: reacnetgenerator description: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. compatibility: Requires `uv` and `python3`. Usually requires internet access for `uvx --from ...` resolution unless packages are already cached. license: LGPL-3.0-or-later metadata: author: hcustc-bot version: '2.3' repository: https://github.com/tongzhugroup/ReacNetGenerator repositories: - https://github.com/tongzhugroup/ReacNetGenerator - https://github.com/hcustc/reacnet-md-tools openclaw: emoji: 🧪 requires: bins: [uv, python3] os: [linux, darwin] ---
# ReacNetGenerator
## 10-second quickstart
- Run a standard LAMMPS dump workflow: - `uvx --refresh --from reacnet-md-tools rng-pipeline ...` - Analyze existing outputs (no rerun): - `uvx --refresh --from reacnet-md-tools rng-query ...`
If you need full official flags (e.g. `--cell`, `--nopbc`, `--use-ase`, `--miso`, HMM matrices), use native:
- `uvx --refresh --from reacnetgenerator reacnetgenerator ...`
## What this skill is for
Use this skill for **reactive MD post-processing** when the user wants to:
- run **ReacNetGenerator** on `bond`, `dump`, `xyz`, or `extxyz` trajectories - handle common LAMMPS trajectory issues before running analysis - choose between a **high-level wrapper** (`reacnet-md-tools`) and the **native `reacnetgenerator` CLI** - inspect generated `.reactionabcd` / `.species` outputs after a run
## References (read only when needed)
Read only what is relevant:
- If the user asks about official flags or default values: [references/cli.md](references/cli.md) - If the user asks about PBC/cell/`--nopbc` or input-type choice: [references/pbc-and-inputs.md](references/pbc-and-inputs.md) - If the user wants copy-paste commands: [references/examples.md](references/examples.md)
## Tool-selection rule
Choose the narrowest tool that solves the user’s request:
1. **Use `rng-pipeline` by default** for standard LAMMPS dump workflows. 1. **Use native `reacnetgenerator`** when the user needs official low-level flags not exposed by the wrapper. 1. **Use `rng-query`** when the user already has `.reactionabcd` / `.species` outputs and wants analysis rather than rerunning. 1. **Use `rng-webapp`** only when the user explicitly wants an interactive local browser UI.
## Ask only for the missing inputs
Usually you only need:
- trajectory path(s) - input type: `bond | dump | xyz | extxyz` if not obvious - atom names for `-a/--atomname` unless they can be inferred from a LAMMPS data file - whether the run should be treated as periodic, **only if cell information is missing or ambiguous**
Do **not** ask unnecessary questions when the trajectory already contains enough information.
## Default execution policy
### Preferred default: wrapper CLIs (`reacnet-md-tools`)
Use `reacnet-md-tools` for routine runs because it is safer and more agent-friendly:
- handles standard LAMMPS dump workflows - can infer atom names from nearby `.data` files - writes outputs into a predictable `out/<basename>/` directory - reduces manual CLI assembly errors
When running the wrapper from an agent, prefer `uvx` so the latest published version is resolved automatically:
```bash uvx --refresh --from reacnet-md-tools rng-pipeline --help uvx --refresh --from reacnet-md-tools rng-query --help ```
### Fallback: native `reacnetgenerator`
Use native `reacnetgenerator` when the user explicitly needs official flags such as:
- `--miso` - `--use-ase` - `--ase-cutoff-mult` - `--ase-pair-cutoffs` - `--nopbc` - `--cell` - `-n/--nproc` - `-s/--selectatoms` - `--matrixa` - `--matrixb` - `--urls`
If using native CLI, follow the official flag semantics in [references/cli.md](references/cli.md).
## Decision rules
### Input type
- If the file clearly looks like a LAMMPS dump (`ITEM:` blocks), treat it as `dump`. - If the input is a bond trajectory such as `bonds.reaxc`, treat it as `bond` / `lammpsbondfile`. - If the input is `.xyz`, treat it as `xyz` unless it is explicitly `extxyz`.
### PBC / cell
Read [references/pbc-and-inputs.md](references/pbc-and-inputs.md) when choosing `--cell` or `--nopbc`.
Short version:
- For **LAMMPS dump/lammpstrj with valid `BOX BOUNDS`**, do **not** ask for `--cell`. - For **XYZ without cell info**, ask whether the system should be treated as periodic. - Use `--nopbc` only when the run is truly non-periodic, already unwrapped/reconstructed, or lacks meaningful periodic cell semantics.
### HMM
- For a quick first pass, use `--nohmm` unless the user explicitly wants HMM behavior. - If the user asks for more faithful / publication-style treatment and knows what HMM means here, allow HMM by omitting `--nohmm`.
## Post-analysis rule
If the user already has outputs such as:
- `.reactionabcd` - `.species` - generated HTML / SVG / JSON reports
prefer **post-analysis** over rerunning. Use `rng-query` first unless the user specifically wants the raw files opened or a browser UI.
## Output expectations
For normal runs, make outputs predictable and easy to inspect:
- `run.log` - generated `*.html`, `*.svg`, `*.json`, `*.species`, `*.reaction*` - `summary.md` if using the wrapper workflow
## Working style
- Prefer non-interactive commands unless you truly have a TTY. - Prefer explicit paths over implicit discovery when multiple candidate files exist. - Stop and ask if atom-type inference is ambiguous. - Do not invent unsupported flags; use the official CLI definitions from [references/cli.md](references/cli.md).
## Quick references
- Official CLI coverage: [references/cli.md](references/cli.md) - Common recipes: [references/examples.md](references/examples.md) - PBC and input decisions: [references/pbc-and-inputs.md](references/pbc-and-inputs.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for reacnetgenerator, ready for a manual X post.
reacnetgenerator: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. U... 135 stars https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x
Listing + install path for reacnetgenerator: https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x Install: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacn...
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to jinzhezenggroup but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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Install targets
Codex install prompt
Install the "reacnetgenerator" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/analysis/reacnetgenerator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jinzhezenggroup-reacnetgenerator","task":"Install reacnetgenerator","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Maintenance
fresh
3d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
135
68/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
135 GitHub stars
Repo activity
135 stars, 27 forks
Maintenance
3d since push
License
LGPL-3.0-or-later
Install
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorDo not use when
Alternative
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npx skills add Leonxlnx/taste-skill --skill design-taste-frontend
Alternative
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npx skills add Alisa0808/vox-director --skill vox-director
Alternative
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npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
Agent should check
Copy prompt
Task: Use reacnetgenerator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install
Install command: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
LLM text format
/api/skills/jinzhezenggroup-reacnetgenerator/install?format=text
Find alternatives
/api/skills/search?q=reacnetgenerator&limit=3
Agent prompt
Use reacnetgenerator for this task. Review https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install, then install with: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jinzhezenggroup-reacnetgenerator
LLM text
/api/registry/manifest/jinzhezenggroup-reacnetgenerator?format=text
Install alias
/api/registry/install/jinzhezenggroup-reacnetgenerator
Recommend
/api/registry/recommend?task=Use%20reacnetgenerator%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO135 GitHub stars
Stars/forks activity
CHECK135 stars, 27 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSLGPL-3.0-or-later
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: reacnetgenerator description: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. compatibility: Requires `uv` and `python3`. Usually requires internet access for `uvx --from ...` resolution unless packages are already cached. license: LGPL-3.0-or-later metadata: author: hcustc-bot version: '2.3' repository: https://github.com/tongzhugroup/ReacNetGenerator repositories: - https://github.com/tongzhugroup/ReacNetGenerator - https://github.com/hcustc/reacnet-md-tools openclaw: emoji: 🧪 requires: bins: [uv, python3] os: [linux, darwin] ---
# ReacNetGenerator
## 10-second quickstart
- Run a standard LAMMPS dump workflow: - `uvx --refresh --from reacnet-md-tools rng-pipeline ...` - Analyze existing outputs (no rerun): - `uvx --refresh --from reacnet-md-tools rng-query ...`
If you need full official flags (e.g. `--cell`, `--nopbc`, `--use-ase`, `--miso`, HMM matrices), use native:
- `uvx --refresh --from reacnetgenerator reacnetgenerator ...`
## What this skill is for
Use this skill for **reactive MD post-processing** when the user wants to:
- run **ReacNetGenerator** on `bond`, `dump`, `xyz`, or `extxyz` trajectories - handle common LAMMPS trajectory issues before running analysis - choose between a **high-level wrapper** (`reacnet-md-tools`) and the **native `reacnetgenerator` CLI** - inspect generated `.reactionabcd` / `.species` outputs after a run
## References (read only when needed)
Read only what is relevant:
- If the user asks about official flags or default values: [references/cli.md](references/cli.md) - If the user asks about PBC/cell/`--nopbc` or input-type choice: [references/pbc-and-inputs.md](references/pbc-and-inputs.md) - If the user wants copy-paste commands: [references/examples.md](references/examples.md)
## Tool-selection rule
Choose the narrowest tool that solves the user’s request:
1. **Use `rng-pipeline` by default** for standard LAMMPS dump workflows. 1. **Use native `reacnetgenerator`** when the user needs official low-level flags not exposed by the wrapper. 1. **Use `rng-query`** when the user already has `.reactionabcd` / `.species` outputs and wants analysis rather than rerunning. 1. **Use `rng-webapp`** only when the user explicitly wants an interactive local browser UI.
## Ask only for the missing inputs
Usually you only need:
- trajectory path(s) - input type: `bond | dump | xyz | extxyz` if not obvious - atom names for `-a/--atomname` unless they can be inferred from a LAMMPS data file - whether the run should be treated as periodic, **only if cell information is missing or ambiguous**
Do **not** ask unnecessary questions when the trajectory already contains enough information.
## Default execution policy
### Preferred default: wrapper CLIs (`reacnet-md-tools`)
Use `reacnet-md-tools` for routine runs because it is safer and more agent-friendly:
- handles standard LAMMPS dump workflows - can infer atom names from nearby `.data` files - writes outputs into a predictable `out/<basename>/` directory - reduces manual CLI assembly errors
When running the wrapper from an agent, prefer `uvx` so the latest published version is resolved automatically:
```bash uvx --refresh --from reacnet-md-tools rng-pipeline --help uvx --refresh --from reacnet-md-tools rng-query --help ```
### Fallback: native `reacnetgenerator`
Use native `reacnetgenerator` when the user explicitly needs official flags such as:
- `--miso` - `--use-ase` - `--ase-cutoff-mult` - `--ase-pair-cutoffs` - `--nopbc` - `--cell` - `-n/--nproc` - `-s/--selectatoms` - `--matrixa` - `--matrixb` - `--urls`
If using native CLI, follow the official flag semantics in [references/cli.md](references/cli.md).
## Decision rules
### Input type
- If the file clearly looks like a LAMMPS dump (`ITEM:` blocks), treat it as `dump`. - If the input is a bond trajectory such as `bonds.reaxc`, treat it as `bond` / `lammpsbondfile`. - If the input is `.xyz`, treat it as `xyz` unless it is explicitly `extxyz`.
### PBC / cell
Read [references/pbc-and-inputs.md](references/pbc-and-inputs.md) when choosing `--cell` or `--nopbc`.
Short version:
- For **LAMMPS dump/lammpstrj with valid `BOX BOUNDS`**, do **not** ask for `--cell`. - For **XYZ without cell info**, ask whether the system should be treated as periodic. - Use `--nopbc` only when the run is truly non-periodic, already unwrapped/reconstructed, or lacks meaningful periodic cell semantics.
### HMM
- For a quick first pass, use `--nohmm` unless the user explicitly wants HMM behavior. - If the user asks for more faithful / publication-style treatment and knows what HMM means here, allow HMM by omitting `--nohmm`.
## Post-analysis rule
If the user already has outputs such as:
- `.reactionabcd` - `.species` - generated HTML / SVG / JSON reports
prefer **post-analysis** over rerunning. Use `rng-query` first unless the user specifically wants the raw files opened or a browser UI.
## Output expectations
For normal runs, make outputs predictable and easy to inspect:
- `run.log` - generated `*.html`, `*.svg`, `*.json`, `*.species`, `*.reaction*` - `summary.md` if using the wrapper workflow
## Working style
- Prefer non-interactive commands unless you truly have a TTY. - Prefer explicit paths over implicit discovery when multiple candidate files exist. - Stop and ask if atom-type inference is ambiguous. - Do not invent unsupported flags; use the official CLI definitions from [references/cli.md](references/cli.md).
## Quick references
- Official CLI coverage: [references/cli.md](references/cli.md) - Common recipes: [references/examples.md](references/examples.md) - PBC and input decisions: [references/pbc-and-inputs.md](references/pbc-and-inputs.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for reacnetgenerator, ready for a manual X post.
reacnetgenerator: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. U... 135 stars https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x
Listing + install path for reacnetgenerator: https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x Install: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacn...
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Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
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Install targets
Codex install prompt
Install the "reacnetgenerator" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/analysis/reacnetgenerator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jinzhezenggroup-reacnetgenerator","task":"Install reacnetgenerator","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Maintenance
fresh
3d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
135
68/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
135 GitHub stars
Repo activity
135 stars, 27 forks
Maintenance
3d since push
License
LGPL-3.0-or-later
Install
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorDo not use when
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Alternative
1.8K Stars
npx skills add Alisa0808/vox-director --skill vox-director
Alternative
175.1K Stars
npx skills add anthropics/skills --skill canvas-design
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
Agent should check
Copy prompt
Task: Use reacnetgenerator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install
Install command: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
LLM text format
/api/skills/jinzhezenggroup-reacnetgenerator/install?format=text
Find alternatives
/api/skills/search?q=reacnetgenerator&limit=3
Agent prompt
Use reacnetgenerator for this task. Review https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install, then install with: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jinzhezenggroup-reacnetgenerator
LLM text
/api/registry/manifest/jinzhezenggroup-reacnetgenerator?format=text
Install alias
/api/registry/install/jinzhezenggroup-reacnetgenerator
Recommend
/api/registry/recommend?task=Use%20reacnetgenerator%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO135 GitHub stars
Stars/forks activity
CHECK135 stars, 27 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSLGPL-3.0-or-later
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: reacnetgenerator description: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. compatibility: Requires `uv` and `python3`. Usually requires internet access for `uvx --from ...` resolution unless packages are already cached. license: LGPL-3.0-or-later metadata: author: hcustc-bot version: '2.3' repository: https://github.com/tongzhugroup/ReacNetGenerator repositories: - https://github.com/tongzhugroup/ReacNetGenerator - https://github.com/hcustc/reacnet-md-tools openclaw: emoji: 🧪 requires: bins: [uv, python3] os: [linux, darwin] ---
# ReacNetGenerator
## 10-second quickstart
- Run a standard LAMMPS dump workflow: - `uvx --refresh --from reacnet-md-tools rng-pipeline ...` - Analyze existing outputs (no rerun): - `uvx --refresh --from reacnet-md-tools rng-query ...`
If you need full official flags (e.g. `--cell`, `--nopbc`, `--use-ase`, `--miso`, HMM matrices), use native:
- `uvx --refresh --from reacnetgenerator reacnetgenerator ...`
## What this skill is for
Use this skill for **reactive MD post-processing** when the user wants to:
- run **ReacNetGenerator** on `bond`, `dump`, `xyz`, or `extxyz` trajectories - handle common LAMMPS trajectory issues before running analysis - choose between a **high-level wrapper** (`reacnet-md-tools`) and the **native `reacnetgenerator` CLI** - inspect generated `.reactionabcd` / `.species` outputs after a run
## References (read only when needed)
Read only what is relevant:
- If the user asks about official flags or default values: [references/cli.md](references/cli.md) - If the user asks about PBC/cell/`--nopbc` or input-type choice: [references/pbc-and-inputs.md](references/pbc-and-inputs.md) - If the user wants copy-paste commands: [references/examples.md](references/examples.md)
## Tool-selection rule
Choose the narrowest tool that solves the user’s request:
1. **Use `rng-pipeline` by default** for standard LAMMPS dump workflows. 1. **Use native `reacnetgenerator`** when the user needs official low-level flags not exposed by the wrapper. 1. **Use `rng-query`** when the user already has `.reactionabcd` / `.species` outputs and wants analysis rather than rerunning. 1. **Use `rng-webapp`** only when the user explicitly wants an interactive local browser UI.
## Ask only for the missing inputs
Usually you only need:
- trajectory path(s) - input type: `bond | dump | xyz | extxyz` if not obvious - atom names for `-a/--atomname` unless they can be inferred from a LAMMPS data file - whether the run should be treated as periodic, **only if cell information is missing or ambiguous**
Do **not** ask unnecessary questions when the trajectory already contains enough information.
## Default execution policy
### Preferred default: wrapper CLIs (`reacnet-md-tools`)
Use `reacnet-md-tools` for routine runs because it is safer and more agent-friendly:
- handles standard LAMMPS dump workflows - can infer atom names from nearby `.data` files - writes outputs into a predictable `out/<basename>/` directory - reduces manual CLI assembly errors
When running the wrapper from an agent, prefer `uvx` so the latest published version is resolved automatically:
```bash uvx --refresh --from reacnet-md-tools rng-pipeline --help uvx --refresh --from reacnet-md-tools rng-query --help ```
### Fallback: native `reacnetgenerator`
Use native `reacnetgenerator` when the user explicitly needs official flags such as:
- `--miso` - `--use-ase` - `--ase-cutoff-mult` - `--ase-pair-cutoffs` - `--nopbc` - `--cell` - `-n/--nproc` - `-s/--selectatoms` - `--matrixa` - `--matrixb` - `--urls`
If using native CLI, follow the official flag semantics in [references/cli.md](references/cli.md).
## Decision rules
### Input type
- If the file clearly looks like a LAMMPS dump (`ITEM:` blocks), treat it as `dump`. - If the input is a bond trajectory such as `bonds.reaxc`, treat it as `bond` / `lammpsbondfile`. - If the input is `.xyz`, treat it as `xyz` unless it is explicitly `extxyz`.
### PBC / cell
Read [references/pbc-and-inputs.md](references/pbc-and-inputs.md) when choosing `--cell` or `--nopbc`.
Short version:
- For **LAMMPS dump/lammpstrj with valid `BOX BOUNDS`**, do **not** ask for `--cell`. - For **XYZ without cell info**, ask whether the system should be treated as periodic. - Use `--nopbc` only when the run is truly non-periodic, already unwrapped/reconstructed, or lacks meaningful periodic cell semantics.
### HMM
- For a quick first pass, use `--nohmm` unless the user explicitly wants HMM behavior. - If the user asks for more faithful / publication-style treatment and knows what HMM means here, allow HMM by omitting `--nohmm`.
## Post-analysis rule
If the user already has outputs such as:
- `.reactionabcd` - `.species` - generated HTML / SVG / JSON reports
prefer **post-analysis** over rerunning. Use `rng-query` first unless the user specifically wants the raw files opened or a browser UI.
## Output expectations
For normal runs, make outputs predictable and easy to inspect:
- `run.log` - generated `*.html`, `*.svg`, `*.json`, `*.species`, `*.reaction*` - `summary.md` if using the wrapper workflow
## Working style
- Prefer non-interactive commands unless you truly have a TTY. - Prefer explicit paths over implicit discovery when multiple candidate files exist. - Stop and ask if atom-type inference is ambiguous. - Do not invent unsupported flags; use the official CLI definitions from [references/cli.md](references/cli.md).
## Quick references
- Official CLI coverage: [references/cli.md](references/cli.md) - Common recipes: [references/examples.md](references/examples.md) - PBC and input decisions: [references/pbc-and-inputs.md](references/pbc-and-inputs.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for reacnetgenerator, ready for a manual X post.
reacnetgenerator: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. U... 135 stars https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x
Listing + install path for reacnetgenerator: https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x Install: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacn...
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@jinzhezenggroup
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
175.1K StarsTaste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
85.2K StarsVox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
1.8K StarsCanvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
175.1K StarsSandbox only
Install targets
Codex install prompt
Install the "reacnetgenerator" agent skill from https://github.com/jinzhezenggroup/computational-chemistry-agent-skills/tree/master/analysis/reacnetgenerator. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"jinzhezenggroup-reacnetgenerator","task":"Install reacnetgenerator","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Maintenance
fresh
3d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
135
68/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
135 GitHub stars
Repo activity
135 stars, 27 forks
Maintenance
3d since push
License
LGPL-3.0-or-later
Install
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorDo not use when
Alternative
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill may drive a browser or interact with web pages.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
Agent should check
Copy prompt
Task: Use reacnetgenerator in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20reacnetgenerator%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install
Install command: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgenerator
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/jinzhezenggroup-reacnetgenerator/install
LLM text format
/api/skills/jinzhezenggroup-reacnetgenerator/install?format=text
Find alternatives
/api/skills/search?q=reacnetgenerator&limit=3
Agent prompt
Use reacnetgenerator for this task. Review https://www.openagentskill.com/api/skills/jinzhezenggroup-reacnetgenerator/install, then install with: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacnetgeneratorRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/jinzhezenggroup-reacnetgenerator
LLM text
/api/registry/manifest/jinzhezenggroup-reacnetgenerator?format=text
Install alias
/api/registry/install/jinzhezenggroup-reacnetgenerator
Recommend
/api/registry/recommend?task=Use%20reacnetgenerator%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code, Browser agents
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
GitHub automation
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO135 GitHub stars
Stars/forks activity
CHECK135 stars, 27 forks; issue activity unavailable in current metadata
Recent maintenance
PASS3d since push
License clarity
PASSLGPL-3.0-or-later
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Design, build, test, and ship interfaces
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
Operate and verify web apps
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Scrape, clean, and reuse web data
A practical workflow for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.
Alternative shortlist
Similar skills that may fit this task.
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
--- name: reacnetgenerator description: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. Use when the user wants to analyze LAMMPS dump/xyz/bond trajectories with ReacNetGenerator. Handles LAMMPS dump quirks like x/y/z vs xs/ys/zs by converting to x/y/z (orthorhombic + triclinic supported via reacnet-md-tools). Can infer atomname order from a LAMMPS data file. Runs via local reacnetgenerator if available or via `uvx --from reacnetgenerator ...`. Writes outputs into `out/<input_basename>/` with logs and a summary. compatibility: Requires `uv` and `python3`. Usually requires internet access for `uvx --from ...` resolution unless packages are already cached. license: LGPL-3.0-or-later metadata: author: hcustc-bot version: '2.3' repository: https://github.com/tongzhugroup/ReacNetGenerator repositories: - https://github.com/tongzhugroup/ReacNetGenerator - https://github.com/hcustc/reacnet-md-tools openclaw: emoji: 🧪 requires: bins: [uv, python3] os: [linux, darwin] ---
# ReacNetGenerator
## 10-second quickstart
- Run a standard LAMMPS dump workflow: - `uvx --refresh --from reacnet-md-tools rng-pipeline ...` - Analyze existing outputs (no rerun): - `uvx --refresh --from reacnet-md-tools rng-query ...`
If you need full official flags (e.g. `--cell`, `--nopbc`, `--use-ase`, `--miso`, HMM matrices), use native:
- `uvx --refresh --from reacnetgenerator reacnetgenerator ...`
## What this skill is for
Use this skill for **reactive MD post-processing** when the user wants to:
- run **ReacNetGenerator** on `bond`, `dump`, `xyz`, or `extxyz` trajectories - handle common LAMMPS trajectory issues before running analysis - choose between a **high-level wrapper** (`reacnet-md-tools`) and the **native `reacnetgenerator` CLI** - inspect generated `.reactionabcd` / `.species` outputs after a run
## References (read only when needed)
Read only what is relevant:
- If the user asks about official flags or default values: [references/cli.md](references/cli.md) - If the user asks about PBC/cell/`--nopbc` or input-type choice: [references/pbc-and-inputs.md](references/pbc-and-inputs.md) - If the user wants copy-paste commands: [references/examples.md](references/examples.md)
## Tool-selection rule
Choose the narrowest tool that solves the user’s request:
1. **Use `rng-pipeline` by default** for standard LAMMPS dump workflows. 1. **Use native `reacnetgenerator`** when the user needs official low-level flags not exposed by the wrapper. 1. **Use `rng-query`** when the user already has `.reactionabcd` / `.species` outputs and wants analysis rather than rerunning. 1. **Use `rng-webapp`** only when the user explicitly wants an interactive local browser UI.
## Ask only for the missing inputs
Usually you only need:
- trajectory path(s) - input type: `bond | dump | xyz | extxyz` if not obvious - atom names for `-a/--atomname` unless they can be inferred from a LAMMPS data file - whether the run should be treated as periodic, **only if cell information is missing or ambiguous**
Do **not** ask unnecessary questions when the trajectory already contains enough information.
## Default execution policy
### Preferred default: wrapper CLIs (`reacnet-md-tools`)
Use `reacnet-md-tools` for routine runs because it is safer and more agent-friendly:
- handles standard LAMMPS dump workflows - can infer atom names from nearby `.data` files - writes outputs into a predictable `out/<basename>/` directory - reduces manual CLI assembly errors
When running the wrapper from an agent, prefer `uvx` so the latest published version is resolved automatically:
```bash uvx --refresh --from reacnet-md-tools rng-pipeline --help uvx --refresh --from reacnet-md-tools rng-query --help ```
### Fallback: native `reacnetgenerator`
Use native `reacnetgenerator` when the user explicitly needs official flags such as:
- `--miso` - `--use-ase` - `--ase-cutoff-mult` - `--ase-pair-cutoffs` - `--nopbc` - `--cell` - `-n/--nproc` - `-s/--selectatoms` - `--matrixa` - `--matrixb` - `--urls`
If using native CLI, follow the official flag semantics in [references/cli.md](references/cli.md).
## Decision rules
### Input type
- If the file clearly looks like a LAMMPS dump (`ITEM:` blocks), treat it as `dump`. - If the input is a bond trajectory such as `bonds.reaxc`, treat it as `bond` / `lammpsbondfile`. - If the input is `.xyz`, treat it as `xyz` unless it is explicitly `extxyz`.
### PBC / cell
Read [references/pbc-and-inputs.md](references/pbc-and-inputs.md) when choosing `--cell` or `--nopbc`.
Short version:
- For **LAMMPS dump/lammpstrj with valid `BOX BOUNDS`**, do **not** ask for `--cell`. - For **XYZ without cell info**, ask whether the system should be treated as periodic. - Use `--nopbc` only when the run is truly non-periodic, already unwrapped/reconstructed, or lacks meaningful periodic cell semantics.
### HMM
- For a quick first pass, use `--nohmm` unless the user explicitly wants HMM behavior. - If the user asks for more faithful / publication-style treatment and knows what HMM means here, allow HMM by omitting `--nohmm`.
## Post-analysis rule
If the user already has outputs such as:
- `.reactionabcd` - `.species` - generated HTML / SVG / JSON reports
prefer **post-analysis** over rerunning. Use `rng-query` first unless the user specifically wants the raw files opened or a browser UI.
## Output expectations
For normal runs, make outputs predictable and easy to inspect:
- `run.log` - generated `*.html`, `*.svg`, `*.json`, `*.species`, `*.reaction*` - `summary.md` if using the wrapper workflow
## Working style
- Prefer non-interactive commands unless you truly have a TTY. - Prefer explicit paths over implicit discovery when multiple candidate files exist. - Stop and ask if atom-type inference is ambiguous. - Do not invent unsupported flags; use the official CLI definitions from [references/cli.md](references/cli.md).
## Quick references
- Official CLI coverage: [references/cli.md](references/cli.md) - Common recipes: [references/examples.md](references/examples.md) - PBC and input decisions: [references/pbc-and-inputs.md](references/pbc-and-inputs.md)
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for reacnetgenerator, ready for a manual X post.
reacnetgenerator: Run ReacNetGenerator on reactive MD trajectories to generate reaction networks and reports. U... 135 stars https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x
Listing + install path for reacnetgenerator: https://www.openagentskill.com/skills/jinzhezenggroup-reacnetgenerator?ref=x Install: npx skills add jinzhezenggroup/computational-chemistry-agent-skills --skill reacn...
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Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
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Frontend Design
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175.1K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
Permission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness