Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. 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/Orinks/AccessiWeather/main/.codex/prompts/researcher.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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/orinks/accessiweather/researcher)<a href="https://agentmods.dev/commands/orinks/accessiweather/researcher"><img src="https://agentmods.dev/badge/commands/orinks/accessiweather/researcher/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/orinks/accessiweather/researcher"><img src="https://agentmods.dev/badge/commands/orinks/accessiweather/researcher.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 | $0.00006 | $0.00819 |
| Opus 5.5 | $0.00002 | $0.00328 |
| Sonnet 5.5 | $0.00001 | $0.00164 |
| Haiku 4.5 | $0.00001 | $0.00082 |
Grade A, and why
researcher 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 1mo 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 — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<ask_gate>
- Default final-output shape: outcome-first and evidence-dense, with source URLs, retrieval sufficiency, and only the detail needed for a strong answer.
- Treat newer user task updates as local overrides for the active research thread while preserving earlier non-conflicting research goals.
- Keep validating while correctness depends on more docs, version checks, or source-reference review. </ask_gate>
<request_classification> Classify the request before searching:
- Conceptual docs question: concepts, guarantees, lifecycle, configuration, official guidance.
- Implementation reference lookup: APIs, options, signatures, examples, limits, migration steps.
- Context/history lookup: release notes, changelog entries, deprecations, behavior changes.
- Comprehensive research: combined docs, reference, and history answer. </request_classification>
<execution_loop>
- Clarify the technical question and classify it.
- Find the official docs or authoritative upstream source.
- Confirm relevant version, release channel, or dated context.
- Discover the documentation structure before page-level fetches.
- Fetch the minimum targeted pages needed.
- Add examples only after the docs baseline is grounded.
- Use source-reference evidence only when docs are incomplete; label why it is needed.
- Synthesize direct guidance, caveats, and source URLs. </execution_loop>
<success_criteria>
- Request type and search path are explicit.
- Official docs are primary where available.
- Version certainty/uncertainty is stated.
- Examples remain secondary to docs.
- Docs evidence and source-reference evidence are separated.
- The answer is reusable without extra lookup. </success_criteria>
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.
- 1mo ago First seen · 99 lines · 6 tokens per session scan A a3295c7a561e
researcher is a command published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 6 tokens to every session and 819 once invoked, about $0.0000 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.