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 skills add gabrielmoreira/agent-skills-mirror --skill goalgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/goal)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/goal"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/goal/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/gabrielmoreira/agent-skills-mirror/goal"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/goal.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00048 | $0.00241 |
| Opus 5.5 | $0.00019 | $0.00096 |
| Sonnet 5.5 | $0.00010 | $0.00048 |
| Haiku 4.5 | $0.00005 | $0.00024 |
Grade A, and why
goal 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 9d 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.
This is a copy
100% identical to goal — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Goal
The thread goal is a persistent objective the harness keeps re-prompting across
turns until complete. Goal state lives in the host (session/goal/*); this
skill is the kernel-side interface.
await goal.get()
await goal.create("ship the release notes", token_budget=200000)
await goal.complete()
API
await goal.get()— current goal, remaining tokens, budget report.await goal.create(objective, token_budget=None)— start an active goal (only when explicitly requested).await goal.complete()— mark the objective achieved.
Rules
- Pause / resume / clear / budget-limit are user/host controlled.
- Call
complete()when the objective is actually done — do not only say it is done.
Status (P1b): Python package stub — host_request lands in P2.
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.
- 9d ago First seen · 30 lines · 48 tokens per session scan A 6228f468494a
goal is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (19 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 241 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to goal, differing in 0 lines, and is treated as a copy.
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