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/grainulation/grainulator/researchnpx skills add grainulation/grainulator --skill researchgit clone --depth 1 https://github.com/grainulation/grainulatorWhat 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 | $0.00014 | $0.00614 |
| Opus 5 | $0.00007 | $0.00307 |
| Sonnet 5 | $0.00003 | $0.00123 |
| Haiku 4.5 | $0.00001 | $0.00061 |
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.
What it actually says
/research -- Investigate a topic
The user wants to research a topic within the current sprint.
Arguments
$ARGUMENTS
Instructions
-
Identify the active sprint by checking for
claims.jsonin the project root, or ask which sprint to target if none exists. -
Plan research passes (2-4 passes depending on topic breadth):
- Pass 1: Broad landscape -- what exists, key concepts, major players
- Pass 2: Deep dive -- technical details, implementation specifics
- Pass 3: Risk and trade-offs -- failure modes, limitations, alternatives
- Pass 4 (if needed): Synthesis -- cross-cutting insights, recommendations
-
For each pass:
- Use WebSearch and WebFetch for general research
- When the user references a GitHub repo or the current repo is on GitHub, use DeepWiki tools to gather codebase context
- For private repos, use Read/Grep/Glob to analyze code directly
- Add 3-5 claims per pass via
wheat_add-claim:- Use
r###ID prefix - Set appropriate evidence tier (web, documented, tested)
- Include source URLs in source.artifact when available
- Mix claim types: factual, estimate, risk, recommendation
- Use
- Run
wheat_compileafter each pass - Announce progress: "Pass 2/3 complete: 11 claims across 4 topics."
-
Completion check: After all passes, run
wheat_status.- If total_claims >= 8 and the user's original message included words like "write up", "summarize", "brief", or "report", immediately run the /brief workflow.
- Otherwise, suggest next steps.
-
Print summary:
Research complete: <pass_count> passes, <claim_count> claims across <topic_count> topics. Next steps: /brief -- generate a compiled brief /challenge r003 -- stress-test a specific finding /witness r005 <url> -- corroborate with external source
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 · 65 lines · 14 tokens per session scan A ff60479f6fb3
research is a skill published in the GitHub repository grainulation/grainulator (86 stars, last pushed 4mo ago), licensed MIT. It adds 14 tokens to every session and 614 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.
Other skills, from other repositories
papercut
Capture or triage small Neva repository and engineering-harness frictions without derailing feature work.
claim-issue
Atomically claim an issue for a developer (human or agent) via the cross-developer lock ref, so two devs never pick up the same task. Syncs with origin first, refuses if already claimed or already done on main, and pushes the claim immediately without touching main or triggering CI.
create-issue
Create a new issue file from a test262 failure pattern. Includes smoke test, sample extraction, and proper frontmatter.
sprint-planning
Collaborative sprint planning — validate issues, prioritize, get architect/SM input, create task queue. Any agent can facilitate.
sprint-retrospective
Run a sprint retrospective — gather data, analyze incidents, propose action items. Any agent can facilitate.
simple-tasks
Install a fast local task workflow for single-project planning with scripts/task.sh (claim, done, status, reporting) backed by tasks/TASKS.md and optional tasks/details/ notes. Use for lightweight in-progress task coordination, not full team issue tracking.