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 agentmods add skills/synaptiai/agent-capability-standard/digital-twin-sync-loopnpx skills add synaptiai/agent-capability-standard --skill digital-twin-sync-loopgit 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-sync-loop)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/digital-twin-sync-loop"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/digital-twin-sync-loop.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 | $0.00045 | $0.02765 |
| Opus 5 | $0.00023 | $0.01383 |
| Sonnet 5 | $0.00009 | $0.00553 |
| Haiku 4.5 | $0.00005 | $0.00277 |
Grade A, and why
digital-twin-sync-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 5d 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 — 330 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Synchronize a digital twin with real-time signals and keep it grounded, safe, and auditable. This workflow maintains alignment between the real world and its digital representation.
This workflow is designed to model both real and digital systems using the canonical world-state schema:
reference/world_state_schema.yaml
Success criteria:
- Twin snapshot updated with latest signals
- All drift and anomalies detected and documented
- Risk assessed and forecasted with evidence
- Actions executed only after checkpoint and approval
- Complete audit trail with provenance
- Rollback available if verification fails
Compatible schemas:
reference/world_state_schema.yamlreference/event_schema.yamlreference/workflow_catalog.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
sources |
Yes | array | Data sources to ingest (APIs, files, streams, sensors) |
world_id |
Yes | string | Identifier for the digital twin being synchronized |
constraints |
No | object | Policy limits, thresholds, timing constraints |
prior_snapshot |
No | object | Previous twin state for delta computation |
sync_mode |
No | enum | full | incremental | delta_only (default: incremental) |
Preconditions (hard gates)
- Policy constraints must exist (
/constrain) - Checkpoint before mutation (
/checkpoint) - Any external side effects require explicit approval (do not
sendwithout approval)
Procedure
- Ensure baseline exists: If no twin snapshot exists, start with
/world-model-workflow
Then execute the sync loop:
-
Invoke
/receive→ storereceive_out- Ingest signals from configured sources
-
Invoke
/transformto normalize to canonical events →transform_out- Convert raw signals to event schema format
-
Invoke
/integrateto merge events with prior twin snapshot →integrate_out- Combine new events with existing state
What ships with it
5 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.
- 5d ago First seen · 330 lines · 45 tokens per session scan A 30b4e3dd9b06
digital-twin-sync-workflow is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 6d ago), licensed Apache-2.0. It adds 45 tokens to every session and 2,765 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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