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.
git clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/commands/ertinox7711/sgrr-agi-v2/goal)<a href="https://agentmods.dev/commands/ertinox7711/sgrr-agi-v2/goal"><img src="https://agentmods.dev/badge/commands/ertinox7711/sgrr-agi-v2/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/commands/ertinox7711/sgrr-agi-v2/goal"><img src="https://agentmods.dev/badge/commands/ertinox7711/sgrr-agi-v2/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 | $0.00021 | $0.00383 |
| Opus 5.5 | $0.00008 | $0.00153 |
| Sonnet 5.5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
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 21d 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.
What it actually says
Persistent thread goal for the current project. Port of prime-agent's /goal.
Arguments: $ARGUMENTS
Engine: python ~/.claude/scripts/goal-state.py --cwd <project root> <sub>
| input | run |
|---|---|
(nothing) or status |
get - print the current goal, status, turn count, notes |
note <text> |
note "<text>" - append a progress note |
complete |
complete - only when the objective is ACTUALLY achieved |
pause / resume / clear |
the matching subcommand |
| anything else | set "<the whole argument string>" - start a new goal |
Rules:
- A goal is created only when the operator asks for one. Never infer a goal from an ordinary task.
- While a goal is active, a
UserPromptSubmithook re-injects it on every prompt. Treat it as a standing instruction: keep pursuing it, and record progress withnoterather than letting it live in context alone. completeis the ONLY way a goal ends. Do not call it because the budget is thin, the context is full, or the current sub-task finished. Running out of room is a reason to compact and continue, not to declare victory.- One active goal per project. Setting a second is refused until the first is completed, paused or cleared.
After any state change, report the new status in one line.
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.
- 21d ago First seen · 35 lines · 21 tokens per session scan A 7eaafab748f5
goal is a command published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 383 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 2026-10-04.
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