Borrowing it
Nothing to install: this file belongs to zkysar1/Claude-Mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/zkysar1/Claude-Mind/main/.claude/skills/generate-domain-goals/SKILL.mdgit clone --depth 1 https://github.com/zkysar1/Claude-MindWrote 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/zkysar1/claude-mind/generate-domain-goals)<a href="https://agentmods.dev/skills/zkysar1/claude-mind/generate-domain-goals"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/generate-domain-goals/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/zkysar1/claude-mind/generate-domain-goals"><img src="https://agentmods.dev/badge/skills/zkysar1/claude-mind/generate-domain-goals.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 | $0.00112 | $0.04913 |
| Opus 5 | $0.00056 | $0.02457 |
| Sonnet 5 | $0.00022 | $0.00983 |
| Haiku 4.5 | $0.00011 | $0.00491 |
Grade A, and why
generate-domain-goals 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 8d 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 — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/generate-domain-goals — Supply-Side Domain Goal Generation
Generates well-evidenced, user-story-shaped domain goals from the domain's
REAL surfaces (code, live apps, quality metrics, user journeys) and files
them into existing aspiration lanes. The counterpart to demand-side skills:
/create-aspiration looks inward (agent drives), /aspirations-strategic-scan
looks at portfolio health — this skill looks OUTWARD at the product and asks
"what would a best-in-class product manager file next?"
Formalized 2026-08-12 from a user-directed bulk injection (102 raw candidates → 52 filed → post-hoc fresh-eyes review found 6 false premises, 1 duplicate, and 19 citation errors that had to be patched in the live queue). The lesson this skill hard-codes: verification runs BEFORE filing, not after. A goal with false evidence is worse than no goal — an executing agent inherits the false premise and builds a duplicate of something that already exists.
Hybrid skill: user-invocable AND agent-callable (the recurring generation goal invokes it in standard mode). Requires assistant or autonomous mode — it writes queue state.
Sub-commands
/generate-domain-goals — Standard pass: ONE rotating generation lens,
bounded batch, inline verification.
This is the recurring-goal mode.
/generate-domain-goals --ultra — USER-INVOKED ONLY: authorizes a multi-agent
Workflow fan-out (parallel surface readers,
per-lens generators, adversarial judges,
independent evidence verifiers, synthesis).
An agent-initiated (recurring-goal) run MUST
NOT pass --ultra: Workflow orchestration
requires explicit user opt-in, and a
recurring firing is not one.
/generate-domain-goals --dry-run — Full pipeline through verification, print
the would-file package, write NOTHING.
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.
- 8d ago Changed · +44 lines 628cf7aec01a
- 11d ago First seen · 316 lines · 112 tokens per session scan A 59c2c833ab2d
generate-domain-goals is a skill published in the GitHub repository zkysar1/Claude-Mind (5 stars, last pushed 3d ago), licensed MIT. It adds 112 tokens to every session and 4,913 once invoked, about $0.0006 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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