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 flonat/flonat-research --skill causal-designgit clone --depth 1 https://github.com/flonat/flonat-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/flonat/flonat-research/causal-design)<a href="https://agentmods.dev/skills/flonat/flonat-research/causal-design"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/causal-design/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/flonat/flonat-research/causal-design"><img src="https://agentmods.dev/badge/skills/flonat/flonat-research/causal-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.02390 |
| Opus 5.5 | $0.00016 | $0.00956 |
| Sonnet 5.5 | $0.00008 | $0.00478 |
| Haiku 4.5 | $0.00004 | $0.00239 |
Grade A, and why
causal-design 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 2mo 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 — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Causal Design
Design and audit identification strategies for observational causal inference.
Output Path
Per rules/review-artefact-routing.md (auto-loads in research projects (path-scoped to paper-*/ and paper/)):
- Source slug:
causal-design - Write reports to:
reviews/<scope>/causal-design/<YYYY-MM-DD-HHMM>.mdinside the project, where<scope>is the paper slug (e.g.paper-philtech) for paper-level audits or_projectfor project-level reviews. Path is relative to the research project root, not the Task-Management repo. - Never at project root (
./CRITIC-REPORT.md-style filenames are forbidden — pre-rule layout). - Idempotency: if today's timestamp exists, append a same-day descriptor to the path base (
{date}-HHMM-revision.md,{date}-HHMM-r2.md,{date}-HHMM-pre-submission.md) — never overwrite. - Index update: if
reviews/INDEX.mdexists, write a one-line entry under "Latest per source" pointing at the new file. Otherwisereview-recapwill rebuild the index next time it runs. - Infrastructure repos (Task-Management, atlas-workspace, etc.): this section does not apply — the path-scoped rule won't load there.
Modes
| Mode | What it does | Entry point |
|---|---|---|
| Design | Interview-driven strategy selection and memo production | "Design my causal strategy" / "What identification can I use?" |
| Audit | 4-phase causal inference check on existing paper/scripts | "Check my identification" / "Audit my econometrics" |
Default: Design. If the user points to an existing paper or estimation script, auto-select Audit mode.
When to Use
- Choosing an identification strategy for an observational study
- Stress-testing whether an existing strategy is credible
- Verifying that code implements the claimed identification design
- Mapping causal claims to their identifying assumptions
When NOT to Use
- Experimental design (RCTs, surveys, factorial) -- use
experiment-design - Running the analysis or generating results -- use
data-analysis - Literature search or citation gathering -- use an installed literature workflow or scholarly search
- Proofreading or compiling the paper -- use
proofread,latex
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.
- 2mo ago First seen · 245 lines · 40 tokens per session scan A 94e4b3b5fb36
causal-design is a skill published in the GitHub repository flonat/flonat-research (149 stars, last pushed 3d ago), licensed MIT. It adds 40 tokens to every session and 2,390 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
causal-design compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| causal-designflonat/flonat-research | Skill | 149 | 3d ago | MIT | A | 40 | Claude Code |
| academic-plottingbrycewang-stanford/Auto-Empirical-Research-Skills | Skill | 4.9k | 4d ago | none | A | 68 | Claude Code, Codex |
| beamer-presentationbrycewang-stanford/Auto-Empirical-Research-Skills | Skill | 4.9k | 4d ago | none | A | 14 | Claude Code, Codex |
| latex-econ-modelbrycewang-stanford/Auto-Empirical-Research-Skills | Skill | 4.9k | 4d ago | none | A | 18 | Claude Code, Codex |
| academic-paper-writerbrycewang-stanford/Auto-Empirical-Research-Skills | Skill | 4.9k | 4d ago | none | A | 14 | Claude Code, Codex |
| latex-tablesbrycewang-stanford/Auto-Empirical-Research-Skills | Skill | 4.9k | 4d ago | none | A | 14 | Claude Code, Codex |
| thesis-figure-skill0xE1337/thesis-figure-skill | Skill | 151 | 3mo ago | MIT | A | 107 | Claude Code, Codex |