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 mrzhangguoguo/oh-my-workbuddy --skill autoresearch-goalgit clone --depth 1 https://github.com/mrzhangguoguo/oh-my-workbuddyWrote 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/mrzhangguoguo/oh-my-workbuddy/autoresearch-goal)<a href="https://agentmods.dev/skills/mrzhangguoguo/oh-my-workbuddy/autoresearch-goal"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/autoresearch-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/mrzhangguoguo/oh-my-workbuddy/autoresearch-goal"><img src="https://agentmods.dev/badge/skills/mrzhangguoguo/oh-my-workbuddy/autoresearch-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 | $0.00041 | $0.00707 |
| Opus 5 | $0.00020 | $0.00353 |
| Sonnet 5 | $0.00008 | $0.00141 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
autoresearch-goal scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ported from oh-my-codex
autoresearch-goal. OMX runtime conventions ($macroinvocation,omxCLI,.omx/state directory) are replaced with WorkBuddy idioms (Skill tool, Agent tool, task list,.workbuddy/memory).
Autoresearch Goal
Use this workflow when a research mission should be bound to a tracked goal while WorkBuddy remains the durable state owner. This is for research projects that need goal-focused management plus professor/critic-style validation; it is not the default answer for ordinary pre-planning best-practice lookup.
Boundary
- Do not claim shell commands mutate hidden external goal state — WorkBuddy tracks the goal locally.
- Do not edit upstream tooling or add dependencies to satisfy a goal lifecycle.
- Track goal status with the task list (TaskCreate/TaskUpdate) and persist durable artifacts under
.omw/autoresearch-goal/<slug>/. - Treat the goal as "complete" only via the local completion gate below, not via an external tool's hidden state.
Artifacts
autoresearch-goal writes:
.omw/autoresearch-goal/<slug>/mission.json.omw/autoresearch-goal/<slug>/rubric.md.omw/autoresearch-goal/<slug>/ledger.jsonl.omw/autoresearch-goal/<slug>/completion.json
Flow
- Create the mission and professor-critic rubric. Capture in
.omw/autoresearch-goal/<slug>/mission.jsonandrubric.md(topic, rubric, and the critic command/prompt). - Emit the model-facing handoff: summarize the mission + rubric so the active session has a clear objective.
- Track the goal with the task list; mark it active as the intended objective.
- Research iteratively against the rubric. Record every critic outcome in
.omw/autoresearch-goal/<slug>/ledger.jsonlvia the verdict command (verdictpass|fail|blocked+ evidence). - Completion is blocked until professor-critic validation records
verdict=pass. After the mission audit passes, mark the task-list goalcompleteand record.omw/autoresearch-goal/<slug>/completion.jsonwith the matching goal snapshot. - Treat the completion step as durable local state reconciliation; do not mutate external goal state through shell commands or hooks.
- After completion, clear the active goal in the task list before starting another same-session goal.
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.
- 12d ago First seen · 46 lines · 41 tokens per session scan A d75dddbcc8ee
autoresearch-goal is a skill published in the GitHub repository mrzhangguoguo/oh-my-workbuddy (2 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 707 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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