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/levi-qiao/longgraph-skill/loop-researchnpx skills add levi-qiao/longgraph-skill --skill loop-researchgit clone --depth 1 https://github.com/levi-qiao/longgraph-skillWrote 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/levi-qiao/longgraph-skill/loop-research)<a href="https://agentmods.dev/skills/levi-qiao/longgraph-skill/loop-research"><img src="https://agentmods.dev/badge/skills/levi-qiao/longgraph-skill/loop-research.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 | $0.00085 | $0.00518 |
| Opus 5 | $0.00043 | $0.00259 |
| Sonnet 5 | $0.00017 | $0.00104 |
| Haiku 4.5 | $0.00009 | $0.00052 |
Grade A, and why
loop-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 4d 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
loop-research — a loop-graph preset for evidence-led choices
A thin authoring entry. It binds a research-and-selection pack, starts the owner
interview, then follows loop-graph to compile the normal
executor, ledger, directives, ops, and supervisor artifacts. It is not a research node,
a second runtime, or a second template set.
Fit check
- Use this when the approach is undecided and a decision needs comparative evidence from open-source projects, primary research, and a controlled benchmark or A/B experiment.
- Use
../loop-deliver/SKILL.mdonce the approach is chosen, or../loop-converge/SKILL.mdfor code consolidation. - For a short answer, one source lookup, or non-comparative literature summary, use the host's ordinary research task instead of a graph.
On invoke
- Inspect the workspace, existing evidence, experiment harnesses, data policy, and current host the same way loop-graph does. Never ask which client this is when context already identifies it.
- Read and bind
preset.md. That pack is the North Star, supervisor requirement, interview, evidence shape, method guards, knob overrides, and artifact emphasis. Do not redesign them. - Start the owner interview immediately. Ask only the pack's unresolved choices — decision/scope, evidence budget and data authority, and launch — as recommended A/B (or A/B/C) choices. Do not ask the owner to invent evaluation criteria.
- Read and follow
../loop-graph/SKILL.mdfrom When called from a preset skill through generate and deliver. Compile only from loop-graph'stemplates/. This skill never executes the generated nodes.
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.
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.
- 4d ago First seen · 37 lines · 85 tokens per session scan A 8bcbdf1b80fa
loop-research is a skill published in the GitHub repository levi-qiao/longgraph-skill (69 stars, last pushed 2d ago), licensed MIT. It adds 85 tokens to every session and 518 once invoked, about $0.0004 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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