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 skills add TTAWDTT/elegant-researcher-skill --skill user-interactiongit clone --depth 1 https://github.com/TTAWDTT/elegant-researcher-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/ttawdtt/elegant-researcher-skill/user-interaction)<a href="https://agentmods.dev/skills/ttawdtt/elegant-researcher-skill/user-interaction"><img src="https://agentmods.dev/badge/skills/ttawdtt/elegant-researcher-skill/user-interaction/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ttawdtt/elegant-researcher-skill/user-interaction"><img src="https://agentmods.dev/badge/skills/ttawdtt/elegant-researcher-skill/user-interaction.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00043 | $0.01052 |
| Opus 5 | $0.00022 | $0.00526 |
| Sonnet 5 | $0.00009 | $0.00210 |
| Haiku 4.5 | $0.00004 | $0.00105 |
Grade A, and why
user-interaction 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 12d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Interaction
This skill controls how the elegant-researcher-skill pipeline involves the user.
Principles
- Never ask about routine decisions.
- Present a short decision summary, not raw files.
- Every checkpoint has a default route.
- Defaults depend on the selected mode.
- If the user says "keep going", follow the default.
- In autonomous modes, do not wait unless there is a true blocker.
Modes
| Mode | User Interaction Behavior |
|---|---|
quick-cycle |
Minimal checkpoints; use defaults quickly |
deep-cycle |
Present checkpoints, but continue with defaults when user gives no direction |
paper-ready |
Ask only when full results, venue, or citation status affects claims |
theory-only |
Skip experiment handoff; focus on theory and proposed experiments |
human-in-loop |
Wait for user decisions at checkpoints |
Checkpoint Format
Each checkpoint response should include:
## [Checkpoint Title]
Status: [one sentence]
Mode: [mode]
Evidence level: [highest relevant level]
Key artifacts:
- [path] - [what it contains]
Summary:
- [key point 1]
- [key point 2]
- [key point 3]
Options:
A. [default option] - [route]
B. [alternative] - [route]
C. [alternative] - [route]
D. [alternative] - [route]
Default: A unless mode-specific rules say otherwise.
Do not include long raw file contents.
Checkpoint 1: Literature Map Confirmation
Trigger: literature search and literature/gap-analysis.md are complete.
Present:
- field overview,
- method evolution,
- contradictions,
- implicit assumptions,
- candidate gaps.
Options:
A. Continue with the recommended gap. B. Deepen a specific gap. C. Adjust literature direction. D. Switch to theory-only framing.
Default:
- autonomous modes: A.
human-in-loop: wait for user selection.
Checkpoint 2: Hypothesis Selection
Trigger: candidate hypotheses and hypothesis-tree.md are complete.
Present:
- 2-5 hypotheses,
- recommended starting point,
- feasibility and expected information gain.
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.
- 12d ago First seen · 212 lines · 43 tokens per session scan A 28ce0feec7c9
user-interaction is a skill published in the GitHub repository TTAWDTT/elegant-researcher-skill (5 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 1,052 once invoked, about $0.0002 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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