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 agentmods add skills/griffinwork40/agent-framework/researchnpx skills add griffinwork40/agent-framework --skill researchgit clone --depth 1 https://github.com/griffinwork40/agent-frameworkWhat 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 | $0.00021 | $0.00523 |
| Opus 5 | $0.00010 | $0.00262 |
| Sonnet 5 | $0.00004 | $0.00105 |
| Haiku 4.5 | $0.00002 | $0.00052 |
Grade A, and why
research 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.
This is a copy
100% identical to research — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sub-agent contract
/contract
Dispatch two sub-agents in parallel using the Agent tool. Prefer subagent_type: "research-agent"; fall back to subagent_type: "Explore" with thoroughness "very thorough" if the research-agent is not available. One researches the web for external context relevant to the current task. The other inspects the local working directory for domain-relevant artifacts. Return a concise merged research brief highlighting relevant findings, conflicts, risks, and implications for the task.
Web research agent — always the same: search for external context, prior art, patterns, APIs, and comparable approaches relevant to the task. Domain-agnostic.
Local inspection agent — adapt to the domain:
| Domain | What to inspect |
|---|---|
software |
Code, config files, package manifests, CI configs, test suites, git history, README/docs, existing patterns and conventions |
research |
Papers (PDF/LaTeX), notes, data files, citation databases (.bib), lab notebooks, analysis scripts, prior drafts |
design |
Design files (Figma exports, SVGs, mockups), brand guidelines, component libraries, user research docs, style guides |
business |
Financial models, strategy docs, market research, pitch decks, competitive analyses, KPI dashboards, stakeholder maps |
| (other) | Scan the working directory for any files relevant to the stated domain — documents, data, config, scripts — and describe what you find |
When domain is unspecified, infer it: git repo → software; PDFs/LaTeX/.bib → research; design assets → design; spreadsheets/decks → business. If ambiguous, inspect broadly and note what you found.
Coverage reporting
Both agents must end their response with a coverage assessment:
- Coverage confidence: low / medium / high — how thoroughly could this domain be searched?
- Known gaps: what couldn't be accessed? (proprietary databases, paywalled papers, unpublished work, practitioner-only knowledge)
- Tacit knowledge risk: low / medium / high — is this a domain where critical knowledge is unwritten or not documented online?
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.
- 2d ago First seen · 35 lines · 21 tokens per session scan A abe79d75a5f3
research is a skill published in the GitHub repository griffinwork40/agent-framework (23 stars, last pushed 7d ago), licensed Apache-2.0. It adds 21 tokens to every session and 523 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to research, differing in 0 lines, and is treated as a copy.
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