Chalk Labs
Need help deploying sysbio-orchestrator?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mervinpraison-sysbio-orchestrator
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What's inside
- Skill name
sysbio-orchestrator- Description
- None
- License
- MIT
- Instructions
- 29 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# SysBio Orchestrator Multi-agent discovery pipeline for BioModels.org. ## Workflow 1. Intake → decompose question 2. Scout → rank models 3. Curation review → trust scorecard 4. SBML analyst → assumptions 5. Simulation engineer → baseline 6. Report writer → final output ## Run ```bash import praisonai_bio praisonai workflow run workflows/discovery/biomodels_discovery_pipeline.yaml export PRAISONAI_RECIPE_PATH=recipes/bio && praisonai recipe run biomodels-discovery ``` ## Toolset `sysbio-orchestrator` — discovery tools plus optional SDK `schedule_add` for longitudinal studies. ## SDK Skills bridge Register bio skills via `PRAISONAI_SKILLS_PATH=skills` or point SDK `SkillsConfig` at this repo's `skills/catalog.json`.
From MervinPraison/PraisonAIBio, MIT.
More from MervinPraison/PraisonAIBio
- 0.461score
get-modelinfo
MervinPraison
Fetch BioModels metadata with get_modelinfo
SkillCFreshness: CClaude Code +9 - 0.461score
steady-state
MervinPraison
Compute steady-state concentrations
SkillCFreshness: CClaude Code +9 - 0.461score
trust-scorecard
MervinPraison
Produce a curation trust scorecard
SkillCFreshness: CClaude Code +9 - 0.461score
ask-question
MervinPraison
Ask natural-language questions about a loaded model
SkillCFreshness: CClaude Code +9 - 0.461score
parameter-scan
MervinPraison
Scan a parameter across a range
SkillCFreshness: CClaude Code +9 - 0.461score
sbml-summarise
MervinPraison
Summarise SBML structure and annotations
SkillCFreshness: CClaude Code +9 - 0.461score
rank-models
MervinPraison
Rank search results by relevance
SkillCFreshness: CClaude Code +9 - 0.461score
sedml-parse
MervinPraison
Parse SED-ML experiment definitions
SkillCFreshness: CClaude Code +9 - 0.458score
compare-models
MervinPraison
Compare two BioModels entries
SkillCFreshness: CClaude Code +9 - 0.458score
query-article
MervinPraison
Look up linked publications
SkillCFreshness: CClaude Code +9 - 0.458score
sbml-validate
MervinPraison
Validate SBML XML structure
SkillCFreshness: CClaude Code +9 - 0.251score
simulate-model
MervinPraison
No description from the publisher yet.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 25, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/MervinPraison/PraisonAIBio
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from MervinPraison
- 0.827score
PraisonAI
MervinPraison
AI Agents Framework with Self Reflection and MCP support
ConnectorAFreshness: ALocal★ 9.3K↓ 2.5K/wkClaude Code +5 - 0.461score
parameter-scan
MervinPraison
Scan a parameter across a range
SkillCFreshness: CClaude Code +9 - 0.461score
ask-question
MervinPraison
Ask natural-language questions about a loaded model
SkillCFreshness: CClaude Code +9 - 0.461score
trust-scorecard
MervinPraison
Produce a curation trust scorecard
SkillCFreshness: CClaude Code +9 - 0.461score
get-modelinfo
MervinPraison
Fetch BioModels metadata with get_modelinfo
SkillCFreshness: CClaude Code +9 - 0.461score
rank-models
MervinPraison
Rank search results by relevance
SkillCFreshness: CClaude Code +9
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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- launches shipped
- media placements
- 500+
- media placements
- founders on every account
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- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
sysbio-orchestrator skill. Agent Mart. https://agentmart.dev/skills/mervinpraison-sysbio-orchestrator (last updated 2026-10-24)