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 airas-org/airas --skill hypothesize-and-designgit clone --depth 1 https://github.com/airas-org/airasWrote 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/airas-org/airas/hypothesize-and-design)<a href="https://agentmods.dev/skills/airas-org/airas/hypothesize-and-design"><img src="https://agentmods.dev/badge/skills/airas-org/airas/hypothesize-and-design/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/airas-org/airas/hypothesize-and-design"><img src="https://agentmods.dev/badge/skills/airas-org/airas/hypothesize-and-design.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 | $0.00055 | $0.01464 |
| Opus 5.5 | $0.00022 | $0.00586 |
| Sonnet 5.5 | $0.00011 | $0.00293 |
| Haiku 4.5 | $0.00006 | $0.00146 |
Grade A, and why
hypothesize-and-design 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 22d 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.
Hypothesize & design
Starts from the .research/sources/<id>/ that search-papers had CI fetch.
This is a loop, not a pass: read, hypothesize, notice what the
literature does not settle, go back to search-papers for it, and
refine until the hypothesis rests on passages you have actually read.
- Read the fetched papers (
.research/sources/<id>/fulltext.txt, with the search row inmetadata.json) with your own tools — a paper runs to 80k+ characters, so read in parts or search within the file. Keep, per paper the research will rest on, its source id and the passages that matter (page and verbatim quote):preregister_recordtakes exactly these (passages get idsp1,p2, … within a source), so note which passages the hypothesis answers (its gap) and which the design follows; record both asquoted_passage_ids. A quote is matched against the snapshot ignoring line breaks, end-of-line hyphenation and ligatures, so copy it as the extracted text has it; keep it to one passage on one page (pages are separated by form feeds and a quote cannot span two). - Fix the compute target: ask the user if it is not known, and
record GPU and
arch(x86_64/aarch64) — the design and later the dependency lockfile depend on it. - Map the method onto the upstream code, then enumerate the knobs
when the design reuses an existing implementation. The map: for each
step of the method as the paper states it, the upstream
module.Class.methodthat carries it. A step the upstream cannot carry unmodified is yours to write, and the map says so: which upstream function was considered and why it cannot be used — a deviation from the method, declared in the design'ssummaryand the hypothesis'snotes. Use the upstream for every step it can carry; a map that leaves most steps to you goes to the user before any code is written. Then the knobs: from the repository at the commit you will pin, list the keys of its config files, the keyword defaults of the entry points you will call, its module constants, and the prompt or resource files it reads (by reading the code until the inventory tool lands). Classify each as varied (inparams, on the grid), fixed away from the upstream default (with the passage stating the default and the reason), or kept at the default (with the reason); a knob you decide not to consider is an assumption, not an omission. Declare all of it in the record: the repository goes under its paper'srepositories(url,commit,filesnaming the whole package,method_entry= themodule.Class.methodwhose call runs the method), and the design carriesrepository_integration(repository_id,extension_points= upstream names your adapter subclasses, overrides or replaces, written as the defining module'smodule.Class—scigym.api.api.LLM, not the re-exportscigym.api.LLM—arguments= onemodule.Class.method.argper knob you set, fixed or on the grid alike: the argument of the function that consumes the value — the upstream's, or asrc/function's for an own knob (seed, workers, a threshold); each is a key of every run'sparamsholding the value that reaches the argument unchanged). The run hook records what everysrc/function and the upstream were called with, and the gate compares each run'sparamswith it. - Author the hypothesis and the design against the guide
get_prompts(step="hypothesis_and_design")returns: it states what a hypothesis, a claim (statement, rationale, criterion, predicted interval, cited passages), a design and a run must contain, and ends in the exactliteratureandhypothesesargumentspreregister_recordtakes.retrieve_models/retrieve_datasetslist curated candidates;search_huggingface_hubwhen they lack what the design needs. A gap the papers at hand cannot confirm is a reason to go back tosearch-papers, not to assume. Write the prose in the user's working language; metric names stay English identifiers. The design'ssummarystates every choice that fixes the hypothesis space, what the method gets to see, how it selects and how it is scored — enough to re-implement the run without the code — and lists each departure from the paper's method aspaper: … / here: … / why: …. Depart only where the paper's form cannot be run; declaring a departure does not excuse it. - Agree the design with the user before any code is written: run
ids, params, claims with criteria and predictions, tables, and the
departure list from step 4 as a table. A
consultation is not a go-ahead to build. Then write the agreed
design to
.research/design.json— exactly theliteratureandhypothesesargumentspreregister_recordwill take — and commit it.
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.
- 22d ago Changed · +5 tokens per session 4a7ea9706797
- 23d ago Changed · +2 lines 05a8734cf55c
- 26d ago Changed · +6 lines 3f4a072789db
- 29d ago Changed · +10 lines 872d67d60030
- 1mo ago Changed · +13 lines 33e9144e9e11
- 1mo ago Changed · +20 lines b1c7f72f18a8
- 1mo ago Changed · -12 lines 467641360f83
- 1mo ago Changed · +16 lines · -1 tokens per session 4dfc2c87b803
- 1mo ago Changed · +5 lines e86a9e21d214
- 1mo ago First seen · 39 lines · 51 tokens per session scan A 1682df1e98bd
hypothesize-and-design is a skill published in the GitHub repository airas-org/airas (39 stars, last pushed 21d ago), licensed MIT. It adds 55 tokens to every session and 1,464 once invoked, about $0.0002 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 2026-09-04.
hypothesize-and-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| hypothesize-and-designairas-org/airas | Skill | 39 | 21d ago | MIT | A | 55 | Claude Code |
| research-prooftonyblu331/research-proof | Skill | 52 | 5mo ago | MIT | A | 101 | Claude Code |
| proof-checkerwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 87 | Claude Code |
| auto-paper-improvement-loopwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 67 | Claude Code |
| paper-writewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 50 | Claude Code |
| research-litwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 48 | Claude Code |
| paper-illustrationwanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 67 | Claude Code |