Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Felpix-Studios/social-science-research/plugin install social-science-researchWrote 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/felpix-studios/social-science-research/new-project)<a href="https://agentmods.dev/skills/felpix-studios/social-science-research/new-project"><img src="https://agentmods.dev/badge/skills/felpix-studios/social-science-research/new-project/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/felpix-studios/social-science-research/new-project"><img src="https://agentmods.dev/badge/skills/felpix-studios/social-science-research/new-project.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 | $0.01504 |
| Opus 5 | $0.00022 | $0.00752 |
| Sonnet 5 | $0.00009 | $0.00301 |
| Haiku 4.5 | $0.00004 | $0.00150 |
Grade A, and why
new-project 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 11d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Research Project
Formalize a research idea into a concrete project specification with testable hypotheses and empirical strategies.
Input: $ARGUMENTS — a topic, phenomenon, dataset, or "start fresh" for open-ended exploration.
This skill runs in three phases. Phase 1 is conversational — ask one or two questions at a time and wait for responses. Phases 2 and 3 run automatically after the interview.
For complex or ambiguous project-scoping requests, read ${CLAUDE_PLUGIN_ROOT}/skills/new-project/references/plan-first-workflow.md before Phase 1.
Phase 1: Research Interview
Goal: Draw out the researcher's thinking and establish a clear research question.
Ask questions one or two at a time. Build on each answer before moving to the next phase. Do NOT use AskUserQuestion — ask directly in your response. A good interview runs 4–6 exchanges.
Question Bank (select and adapt based on context)
The Puzzle (start here):
- "What phenomenon or puzzle are you trying to understand?"
- "What do you observe in the data / world that doesn't fit the standard explanation?"
Why It Matters:
- "Why does this matter? Who should care about the answer?"
- "Is there a policy lever here, or is this more about understanding a mechanism?"
Theoretical Motivation:
- "What's your intuition for why X happens — what's the mechanism?"
- "What would standard theory predict? Do you expect to find something different, and why?"
Data and Setting:
- "Do you have data in mind, or are you open on the data source?"
- "Is there a specific context, time period, country, or institutional setting you're focused on?"
Identification:
- "Is there a natural experiment, policy change, or discontinuity you could exploit?"
- "What's the biggest threat to a causal interpretation — what would a skeptic say?"
Expected Results + Contribution:
- "What would you expect to find? What would genuinely surprise you?"
- "What existing papers are closest to this? What gap does yours fill?"
What ships with it
2 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.
- 11d ago First seen · 173 lines · 43 tokens per session scan A c0d93a3c4be0
new-project is a skill published in the GitHub repository Felpix-Studios/social-science-research (8 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 1,504 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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