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/generatenpx skills add synaptiai/agent-capability-standard --skill generategit 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/generate)<a href="https://agentmods.dev/skills/synaptiai/agent-capability-standard/generate"><img src="https://agentmods.dev/badge/skills/synaptiai/agent-capability-standard/generate.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 | $0.00035 | $0.02719 |
| Opus 5 | $0.00017 | $0.01359 |
| Sonnet 5 | $0.00007 | $0.00544 |
| Haiku 4.5 | $0.00003 | $0.00272 |
Grade A, and why
generate 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 — 353 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intent
Produce a new artifact that satisfies specified constraints and serves a defined purpose. Generation is creative synthesis bounded by requirements, not mere retrieval or transformation.
Success criteria:
- Artifact satisfies all stated constraints
- Rationale explains design decisions
- Quality signals demonstrate fitness for purpose
- Safety considerations documented
Compatible schemas:
schemas/output_schema.yaml
Inputs
| Parameter | Required | Type | Description |
|---|---|---|---|
artifact_type |
Yes | string | Type of output: text, code, plan, config, schema, etc. |
constraints |
Yes | object|array | Requirements the artifact must satisfy |
context |
No | string|object | Background information, examples, or references |
format |
No | string | Output format: markdown, json, yaml, typescript, etc. |
alternatives_requested |
No | boolean | Whether to provide alternative designs |
Procedure
-
Clarify artifact requirements: Ensure constraints are understood
- Must-have: absolute requirements (format, structure, compatibility)
- Should-have: preferences (style, conventions, optimization)
- Must-not-have: exclusions (patterns to avoid, security constraints)
-
Gather context: Collect relevant reference material
- Read existing code/docs for style consistency
- Identify patterns to follow or avoid
- Understand integration points and dependencies
-
Design approach: Plan the generation strategy
- Outline structure before detailed generation
- Consider multiple approaches if request is complex
- Document key design decisions
-
Generate artifact: Produce the content systematically
- Follow identified patterns and conventions
- Satisfy constraints in priority order
- Document any constraints that conflict
-
Validate constraints: Verify each constraint is satisfied
- Mark each constraint as satisfied/unsatisfied
- Note any compromises or partial satisfaction
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 · 353 lines · 35 tokens per session scan A 3b0c0fcbcda1
generate is a skill published in the GitHub repository synaptiai/agent-capability-standard (4 stars, last pushed 5d ago), licensed Apache-2.0. It adds 35 tokens to every session and 2,719 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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