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/jayvee/aigon/aigon-research-createnpx skills add jayvee/aigon --skill aigon-research-creategit clone --depth 1 https://github.com/jayvee/aigonWrote 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/jayvee/aigon/aigon-research-create)<a href="https://agentmods.dev/skills/jayvee/aigon/aigon-research-create"><img src="https://agentmods.dev/badge/skills/jayvee/aigon/aigon-research-create.svg" alt="Measured on agentmods" 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 | $0.00016 | $0.01343 |
| Opus 5 | $0.00008 | $0.00672 |
| Sonnet 5 | $0.00003 | $0.00269 |
| Haiku 4.5 | $0.00002 | $0.00134 |
Grade A, and why
aigon-research-create 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 5d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
aigon-research-create
Run this command followed by the research topic name.
aigon research-create $ARGUMENTS
This creates a new research topic in ./docs/specs/research-topics/01-inbox/.
Tip: If you are running this command in your own Claude Code session (no
--agentflag), press Shift+Tab now to enter plan mode before drafting — this keeps your session read-only while you frame the research brief.
Important: Create the document only — do NOT conduct research
Your job is ONLY to create a research topic document. You are NOT researching, investigating, or answering questions. You are writing down what SHOULD be researched later by a different agent (or yourself in a later step).
Do NOT:
- Read source code to investigate the topic
- Search the web for answers
- Write findings, recommendations, or conclusions
- Fill in answers to the questions you define
- Read or explore the codebase even to phrase questions
Do:
- Ask the user what they want to learn (if unclear from the topic name)
- Write a clear Context section explaining why this research matters
- Write focused Questions to Answer as a checklist (unchecked
- [ ]) - Define Scope (in scope / out of scope) to keep the research bounded
- Optionally note any Inspiration or starting-point references the user mentions
The output should be a short, well-structured document that frames the research — not the research itself. Think of it as a brief for another agent.
Deepen
Framing only: do not read code, open or investigate references, search the web, or attempt to answer any research question. This rule overrides any instinct to investigate. Your job in this step is only to sharpen the brief for a later research agent.
- Apply the gate. Inspect the raw invocation arguments. If they contain
--quick, skip Deepen and continue to writing the brief. Otherwise runaigon config get deepen.enabled; skip Deepen only when its effective value isfalse. Remember whether the command reported the built-in default so the final response can include the default-only hint below. - Use only supplied framing. Read the bare-bones brief, topic name, planning conversation, and the names or descriptions of user-provided references. Do not open those references. Build an internal coverage map in this order: Context (especially why now and what decision the work should inform) → Questions to Answer → Scope (in and out) → optional Inspiration →
complexity:. Mark anything already resolved and do not ask it again. - Ask the highest-leverage unresolved framing question. Ask exactly one question per message and include a separate line in this form:
Recommended framing: .... When the question offers discrete framing alternatives, enumerate them as short lettered options —a) …,b) …— and name the chosen letter in the recommendation (Recommended framing: a) ...), so the user can answer with just a letter. The recommendation must be a framing choice the user can ratify or override, never a proposed research answer. Normally ask 2–5 questions. Never exceed 6 unless the user explicitly asks to continue, and stop earlier once every material section is draftable. Do not ask about Inspiration merely to fill the template. - Maintain the brief as answers arrive. Record ratifications and overrides. If the user says "I don't know" about a substantive answer, turn the unknown into a clear, non-duplicative unchecked item under Questions to Answer. If they do not know a framing preference, use the recommended framing and state that assumption visibly in the relevant Context or Scope prose; never invent a research answer. If the user says
enough,stop, or an equivalent exit phrase, stop asking immediately and write the best brief supported by what you have. - Keep questions researchable and useful. Each question should be answerable, evidence-seeking, and relevant to a decision. For comparative or empirical questions, name the case, alternatives, and evidence or metric where applicable. For exploratory or qualitative questions, seek mechanisms, constraints, user needs, or failure modes; do not invent a metric merely to make a question look empirical.
- Finish the framing. Write the brief, then infer
complexity:last using the rubric below. In the final response, explain the chosen complexity in one sentence, but do not add a rationale section or rationale sentence to the research brief. If Deepen ran andaigon config get deepen.enabledreported the built-in default, also include exactly this concise hint:Skip next time with --quick; disable everywhere with aigon config set --global deepen.enabled false.Omit the hint when project or global configuration supplied the value.
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.
- 5d ago First seen · 74 lines · 16 tokens per session scan A 442a59d74184
aigon-research-create is a skill published in the GitHub repository jayvee/aigon (25 stars, last pushed 4d ago), licensed Apache-2.0. It adds 16 tokens to every session and 1,343 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 2026-08-30.
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