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 wentorai/research-plugins --skill mostly-harmless-guidegit clone --depth 1 https://github.com/wentorai/research-pluginsWrote 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/wentorai/research-plugins/mostly-harmless-guide)<a href="https://agentmods.dev/skills/wentorai/research-plugins/mostly-harmless-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/mostly-harmless-guide/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/wentorai/research-plugins/mostly-harmless-guide"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/mostly-harmless-guide.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 | $0.00017 | $0.01553 |
| Opus 5.5 | $0.00007 | $0.00621 |
| Sonnet 5.5 | $0.00003 | $0.00311 |
| Haiku 4.5 | $0.00002 | $0.00155 |
Grade A, and why
mostly-harmless-guide 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 1mo 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mostly Harmless Econometrics Guide
A skill providing replication code, explanations, and practical guidance for the econometric methods presented in Angrist and Pischke's "Mostly Harmless Econometrics" (MHE). Based on the mostly-harmless-replication repository (642 stars), this skill helps researchers understand and correctly apply core causal inference techniques.
Overview
"Mostly Harmless Econometrics" is one of the most influential applied econometrics textbooks, providing accessible explanations of the methods that dominate modern empirical research in economics and increasingly in other social sciences. This skill translates the book's core methods into practical guidance that the agent can use to help researchers design studies, select appropriate estimators, and interpret results correctly.
The skill covers regression, instrumental variables, difference-in-differences, regression discontinuity, and related methods, with emphasis on the practical decisions researchers face when applying these techniques to real data.
Regression Fundamentals
Ordinary Least Squares (OLS)
- OLS provides the best linear approximation to the conditional expectation function
- The regression anatomy theorem: each coefficient can be obtained from a bivariate regression of the outcome on the residualized regressor
- Omitted variable bias formula: bias equals the effect of the omitted variable times its correlation with the included regressor
- Control variables should be selected based on the conditional independence assumption, not on statistical significance
- Robust standard errors (Huber-White) should be the default; cluster when observations are not independent
Regression Interpretation
- The causal interpretation of regression requires the conditional independence assumption (CIA)
- CIA states that treatment is as good as randomly assigned after conditioning on controls
- Saturated models (fully interacted categorical variables) are always correctly specified
- Linear regression with continuous variables approximates the true conditional expectation
- Report both statistical and economic significance; a large t-statistic does not mean a large effect
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.
- 1mo ago First seen · 133 lines · 17 tokens per session scan A 63e18b28c8a8
mostly-harmless-guide is a skill published in the GitHub repository wentorai/research-plugins (302 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 1,553 once invoked, about $0.0001 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 2026-08-30.
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