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/integratenpx skills add synaptiai/agent-capability-standard --skill integrategit 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/integrate)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/integrate"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/integrate.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 | $0.00039 | $0.02898 |
| Opus 5 | $0.00019 | $0.01449 |
| Sonnet 5 | $0.00008 | $0.00580 |
| Haiku 4.5 | $0.00004 | $0.00290 |
Grade A, and why
integrate 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 4d 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 — 413 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Perform data integration to combine information from multiple heterogeneous sources into a unified, coherent model. This handles schema differences, resolves conflicts, and preserves provenance.
Success criteria:
- All sources are incorporated or explicitly excluded
- Schema mismatches are resolved consistently
- Conflicts are documented with resolution rationale
- Provenance traces every value to its source
- Information loss is minimized and documented
World Modeling Context:
Integrate is essential for building comprehensive world-state from multiple observation sources. It combines outputs from retrieve, search, and inspect into unified models, and depends on identity-resolution for entity deduplication.
Hard dependencies:
- Requires
identity-resolutionwhen sources contain overlapping entities
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
sources |
Yes | array | Data sources to integrate (files, API outputs, retrieved data) |
target_schema |
No | object | Schema the integrated data should conform to |
conflict_strategy |
No | string | prefer_recent, prefer_authoritative, merge, manual (default: prefer_authoritative) |
constraints |
No | object | Required fields, validation rules |
Procedure
-
Analyze sources: Understand what each source contains
- Inventory entities and attributes per source
- Identify source schemas (explicit or inferred)
- Note data freshness and authority
- Detect overlapping vs. unique content
-
Align schemas: Map source schemas to target
- Identify equivalent fields (same meaning, different names)
- Map types (handle type conversions)
- Handle missing fields (default values, nulls)
- Document unmappable fields (information loss)
-
Resolve entity identity: Determine which records refer to same entity
- Apply
identity-resolutionfor overlapping entities - Assign canonical IDs
- Track all source IDs as aliases
- Apply
What ships with it
2 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.
- 4d ago First seen · 413 lines · 39 tokens per session scan A 1b037fcd9e9d
integrate is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 5d ago), licensed Apache-2.0. It adds 39 tokens to every session and 2,898 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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