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 software-engineering-researchgit 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/software-engineering-research)<a href="https://agentmods.dev/skills/wentorai/research-plugins/software-engineering-research"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/software-engineering-research/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/software-engineering-research"><img src="https://agentmods.dev/badge/skills/wentorai/research-plugins/software-engineering-research.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 | $0.00014 | $0.01910 |
| Opus 5 | $0.00007 | $0.00955 |
| Sonnet 5 | $0.00003 | $0.00382 |
| Haiku 4.5 | $0.00001 | $0.00191 |
Grade A, and why
software-engineering-research scanned grade A with 1 finding 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 6d 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Engineering Research Guide
Navigate the landscape of software engineering research, including key subfields, methodologies, datasets, benchmarks, and top venues.
SE Research Subfields
| Subfield | Key Topics | Major Venues |
|---|---|---|
| Software Testing | Test generation, fuzzing, mutation testing, flaky tests | ISSTA, ICST, ASE |
| Program Analysis | Static analysis, abstract interpretation, symbolic execution | PLDI, POPL, OOPSLA |
| Software Maintenance | Code refactoring, technical debt, code smells, evolution | ICSME, MSR, SANER |
| SE for AI/ML | ML pipeline testing, data quality, model debugging | ICSE-SEIP, FSE |
| AI for SE | Code generation, bug detection, program repair | ICSE, FSE, ASE |
| Distributed Systems | Consensus, fault tolerance, scalability, microservices | SOSP, OSDI, EuroSys |
| Cybersecurity | Vulnerability detection, malware analysis, privacy | IEEE S&P, CCS, USENIX Security |
| HCI in SE | Developer tools, IDE usability, code comprehension | CHI, CSCW, VL/HCC |
| Empirical SE | Mining repositories, developer surveys, controlled experiments | ESEM, MSR, TOSEM |
Research Methodologies in SE
Controlled Experiments
Testing a specific hypothesis with treatment and control groups:
Example: Does AI code completion improve developer productivity?
Design:
- Participants: 60 professional developers
- Treatment: IDE with AI code completion enabled
- Control: IDE with AI code completion disabled
- Task: Complete 5 programming tasks of varying difficulty
- Metrics: Task completion time, code correctness, lines of code
- Analysis: Mixed-effects linear model with participant as random effect
Threats to validity:
- Internal: Learning effect (counterbalance task order)
- External: Lab setting may not reflect real development
- Construct: "Productivity" operationalized as speed + correctness
Mining Software Repositories (MSR)
Analyzing data from version control, issue trackers, code review systems:
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.
- 6d ago First seen · 219 lines · 14 tokens per session scan A 0e1085d1f540
software-engineering-research is a skill published in the GitHub repository wentorai/research-plugins (291 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 1,910 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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