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/invokenpx skills add synaptiai/agent-capability-standard --skill invokegit 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/invoke)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/invoke"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/invoke.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 | $0.00028 | $0.02185 |
| Opus 5 | $0.00014 | $0.01092 |
| Sonnet 5 | $0.00006 | $0.00437 |
| Haiku 4.5 | $0.00003 | $0.00218 |
Grade A, and why
invoke 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 3d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Invoke a predefined workflow by name, passing input parameters and receiving aggregated results. This enables reuse of common capability compositions and supports hierarchical workflow organization.
Success criteria:
- Workflow executed according to definition
- All steps completed or gracefully failed
- Results aggregated and returned
- Execution trace available for debugging
Compatible schemas:
schemas/output_schema.yamlreference/workflow_catalog.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
workflow |
Yes | string | Workflow name from workflow catalog |
input |
No | object | Input parameters for workflow |
options |
No | object | Execution options (timeout, retry, etc.) |
Procedure
-
Resolve workflow: Find workflow definition
- Look up workflow in workflow_catalog.yaml
- Validate workflow exists
- Load workflow specification
-
Validate inputs: Check input against workflow schema
- Verify required inputs provided
- Validate input types
- Apply defaults for missing optional inputs
-
Initialize execution: Set up workflow context
- Create execution ID
- Initialize step tracking
- Set up data flow context
-
Execute steps: Run workflow steps in order
- Execute each capability in sequence
- Handle step dependencies
- Propagate data between steps via store_as
-
Handle failures: Respond to step failures
- Execute failure_modes actions
- Attempt recovery if specified
- Trigger rollback if needed
-
Aggregate results: Collect workflow outputs
- Gather outputs from each step
- Evaluate success criteria
- Compute overall result
-
Return results: Provide complete execution record
- Include all step outputs
- Provide execution trace
- Report success/failure
Output Contract
Return a structured object:
result:
success: boolean # Whether workflow completed successfully
workflow: string # Workflow that was executed
output: any # Primary workflow output
steps_executed:
- step_id: string # Capability name
status: string # success, failed, skipped
output_key: string # store_as value
duration: string
execution:
id: string # Unique execution ID
started_at: string # ISO timestamp
completed_at: string # ISO timestamp
duration: string # Total execution time
failures:
- step: string
error: string
recovery_attempted: boolean
evidence_anchors: ["workflow:step:output"]
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.
- 3d ago First seen · 321 lines · 28 tokens per session scan A 732bc6bdea16
invoke is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 4d ago), licensed Apache-2.0. It adds 28 tokens to every session and 2,185 once invoked, about $0.0001 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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