Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Agent-Clubhouse/Goobersnpx agentmods add skills/agent-clubhouse/goobers/goobers-dsl-authorWrote 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/agent-clubhouse/goobers/goobers-dsl-author)<a href="https://agentmods.dev/skills/agent-clubhouse/goobers/goobers-dsl-author"><img src="https://agentmods.dev/badge/skills/agent-clubhouse/goobers/goobers-dsl-author/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agent-clubhouse/goobers/goobers-dsl-author"><img src="https://agentmods.dev/badge/skills/agent-clubhouse/goobers/goobers-dsl-author.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00036 | $0.02661 |
| Opus 5.5 | $0.00014 | $0.01064 |
| Sonnet 5.5 | $0.00007 | $0.00532 |
| Haiku 4.5 | $0.00004 | $0.00266 |
Grade A, and why
goobers-dsl-author 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 16d 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goobers DSL author
Translate a user's intent into the smallest complete Goobers config change. This skill authors definitions for the user's config repo; it does not start or depend on the Goobers daemon.
Find the canonical sources
Resolve the target release with goobers-environment-resolver when this skill
is used from the Goobers agent toolkit.
When a Goobers source checkout is available, inspect the matching release's sources before authoring:
docs/ARCHITECTURE.mdfor architecture and terminology precedence.api/schemas/gaggle.schema.json,goober.schema.json, andworkflow.schema.jsonfor the accepted YAML shape.docs/requirements/{gaggle,goober,workflow,task,gate,config-as-code}.mdfor semantics.docs/stage-contract.mdfor task inputs, outputs, artifacts, and capabilities.internal/capability/capability.gofor the canonical capability registry.config-examples/for complete patterns. Examples illustrate the schemas; they do not override them.
Outside a checkout, use the bundled
references/dsl-reference.md and
references/terminology.md. If the user's
Goobers version is known, consult sources from that release rather than main.
If sources disagree, follow docs/ARCHITECTURE.md, then the schemas and
validator for the target release. Do not invent fields from prose or examples.
Ground the request in the target repository
Start with the complete report from goobers-environment-resolver. Then follow
references/repository-authoring.md for
each configured target. When a new checked-in source tree has no structured
target yet, use that reference's prospective-target bootstrap only for the
complete provider identity and optional ref the user explicitly requested.
Inspect repository guidance, README/contributor docs, CI workflows, command
entry points, language manifests, lockfiles, and the default branch using
read-only local or provider access. Do not execute target-repository commands
during discovery.
What ships with it
3 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.
- 16d ago Changed · +11 lines 7861da8d3e70
- 22d ago Changed · +5 lines 96d1f7d9fdde
- 2mo ago First seen · 225 lines · 36 tokens per session scan A 4b4084984c6f
goobers-dsl-author is a skill published in the GitHub repository Agent-Clubhouse/Goobers (10 stars, last pushed 2d ago), licensed MIT. It adds 36 tokens to every session and 2,661 once invoked, about $0.0001 per session on Opus 5.5. 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.
goobers-dsl-author compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| goobers-dsl-authorAgent-Clubhouse/Goobers | Skill | 10 | 2d ago | MIT | A | 36 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |