Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add synaptiai/agent-capability-standard --skill digital-twin-bootstrapgit clone --depth 1 https://github.com/synaptiai/agent-capability-standardWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/synaptiai/agent-capability-standard/digital-twin-bootstrap)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/digital-twin-bootstrap"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/digital-twin-bootstrap.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00040 | $0.02801 |
| Opus 5 | $0.00020 | $0.01401 |
| Sonnet 5 | $0.00008 | $0.00560 |
| Haiku 4.5 | $0.00004 | $0.00280 |
Grade A, and why
world-model-workflow scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Run the composed workflow world-model-workflow using atomic capability skills to construct a comprehensive, grounded representation of a system or domain.
A world model captures:
- State: Current entity states and attributes
- Dynamics: How the system evolves over time
- Uncertainty: Confidence bounds and unknowns
- Provenance: Source and lineage of all facts
Success criteria:
- Complete entity inventory with identity resolution
- State representation follows canonical schema
- Causal relationships and dynamics modeled
- Uncertainty quantified for all assertions
- Full provenance chain for every fact
- Simulation capability established
Compatible schemas:
reference/world_state_schema.yamlreference/event_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
goal |
Yes | string | The modeling objective (e.g., "model supply chain for disruption analysis") |
scope |
Yes | string|array | Domain, system, or entities to model |
constraints |
No | object | Limits (e.g., time horizon, resolution, confidence threshold) |
sources |
No | array | Data sources for world state extraction |
prior_model |
No | object | Existing model to extend or refine |
Procedure
-
Create checkpoint marker if mutation might occur:
- Create
.claude/checkpoint.okafter confirming rollback strategy
- Create
-
Invoke
/retrieveand store output asretrieve_out- Gather raw data from configured sources
-
Invoke
/inspectand store output asinspect_out- Examine retrieved data for structure and quality
-
Invoke
/identity-resolutionand store output asidentity-resolution_out- Resolve entity references and establish canonical IDs
-
Invoke
/world-stateand store output asworld-state_out- Construct canonical state representation
-
Invoke
/state-transitionand store output asstate-transition_out- Define rules for state evolution
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 344 lines · 40 tokens per session scan A a2fb919fd2f8
world-model-workflow is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 8d ago), licensed Apache-2.0. It adds 40 tokens to every session and 2,801 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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