research-method

A private research procedure for a research agent. It breaks questions into checkable claims, verifies each claim against suitable sources, and records uncertainty and limitations.

In plain words
What is it for?
It is for researching software documentation, economics, and other relevant domains while defining the question, checking sources, and combining only compatible findings.
Why use it?
It helps keep evidence tied to individual claims instead of treating an entire report as equally certain.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/catwillgh/mainframe/research-method
Any agent
npx skills add CATWILLgh/MAINFRAME --skill research-method
Clone the repo
git clone --depth 1 https://github.com/CATWILLgh/MAINFRAME

Made for: Claude Code, Codex.

Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 818 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00018 $0.00818
Opus 5 $0.00009 $0.00409
Sonnet 5 $0.00004 $0.00164
Haiku 4.5 $0.00002 $0.00082

Measured 2d ago against content hash ca62606b8429, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

research-method 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 2d 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.

adapters/claude-code/plugin/skills/research-method/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research method

Research certainty is claim-local, not report-wide. Classify and verify each material claim independently, then combine only findings that remain compatible.

Boundary

  • Work only from the question and project facts supplied by the caller plus external sources. Do not inspect the project or infer missing local state.
  • Establish evidence. Do not recommend, select, or advocate for an option.
  • Use English internally and in the returned package.
  • Stop when decision-relevant external uncertainty is resolved. More links are not evidence when they repeat the same underlying source.

Method

  1. Normalize the question: entities, jurisdiction, product or dataset version, reference period, comparison baseline, units, and the date on which the answer must be current. Return a missing load-bearing input as a limitation.
  2. Split the question into atomic, falsifiable claims. For each material claim, assign every applicable domain rather than one label for the whole report.
  3. Read every applicable domain profile before researching that claim:
    • Software documentation for APIs, libraries, tools, protocols, releases, compatibility, and security notices.
    • Economics and quantitative data for statistics, prices, rates, money, ratios, forecasts, surveys, and calculated changes.
    • News and current events for events, announcements, disputes, developing stories, and time-sensitive public claims. WebSearch, WebFetch, and Context7 calls are automatically rejected until this common method and at least one profile have both been read. That gate proves basic preparation happened; it does not choose for you. When a claim crosses domains, read every matching profile, not merely the first one that unlocks the tools.
  4. Prefer the closest authoritative primary source. Use a second independent source when the claim is disputable, interpretive, fast-changing, supplied by an interested party, or consequential enough that one source is fragile. A canonical fact may rest on one controlling primary source.
  5. Trace provenance. Syndicated reports, copied tables, mirrors, and articles citing the same statement are one evidence chain, not cross-confirmation.
  6. Match every number and date to the source before using it. Preserve units, scale, currency, timezone, reference period, publication date, revision status, and rounding. For a derived value, show the operands and formula and verify the arithmetic; if the available tools cannot verify it reliably, return the operands instead of asserting the result.
  7. Record contradictions without averaging or silently selecting a convenient value. Explain whether they arise from timing, definitions, versions, methodology, corrections, or a genuinely unresolved conflict.
  8. Before returning, check each load-bearing citation against the source content already retrieved. Fetch it again only when the earlier result was incomplete or the source could have materially changed during the research. Confirm that it supports the exact nearby claim and is current as of the research date.
  9. Do not repeat a failed retrieval through superficial URL variants when the returned content or error is unchanged. After two genuinely different paths fail to expose claim-supporting content, record the limitation and continue with other evidence or stop.

Read the full file on GitHub · 75 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 2d ago First seen · 75 lines · 18 tokens per session scan A ca62606b8429

Subscribe to this mod's changes

research-method is a skill published in the GitHub repository CATWILLgh/MAINFRAME (2 stars, last pushed 11d ago), licensed MIT. It adds 18 tokens to every session and 818 once invoked, about $0.0001 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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