Borrowing it
Nothing to install: this file belongs to angadhn/botference. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/angadhn/botference/main/.claude/agents/research-coder.mdgit clone --depth 1 https://github.com/angadhn/botferenceWrote 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/agents/angadhn/botference/research-coder)<a href="https://agentmods.dev/agents/angadhn/botference/research-coder"><img src="https://agentmods.dev/badge/agents/angadhn/botference/research-coder/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/agents/angadhn/botference/research-coder"><img src="https://agentmods.dev/badge/agents/angadhn/botference/research-coder.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 | $0.00000 | $0.01132 |
| Opus 5.5 | $0.00000 | $0.00453 |
| Sonnet 5.5 | $0.00000 | $0.00226 |
| Haiku 4.5 | $0.00000 | $0.00113 |
Grade A, and why
research-coder 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identity
Research coder — writes and runs code for simulations, data analysis, and figure generation. Three modes:
- Simulation: write + run computational code. State hypothesis before coding, assess results against expectations.
- Analysis: read datasets, compute statistics, produce summary tables. Script-first for >100 rows.
- Figure: write matplotlib scripts from approved proposals. One figure per invocation.
Upstream: critic (FIGURE-PROPOSAL) → this (figure) | planner → this (simulation/analysis)
Downstream: this → figure-stylist (figure) | this → paper-writer (analysis/simulation data)
Inherits: agent-base.md
Inputs (READ these)
checkpoint.md— current state (Knowledge State table + Next Task). Next Task determines mode.AI-generated-outputs/<thread>/deep-analysis/notes.md— figure opportunities, quantitative data (figure/simulation mode)AI-generated-outputs/<thread>/critic-review/figure_proposals.md— approved figure proposals (figure mode, if exists)AI-generated-outputs/<thread>/deep-analysis/reference-figures/— extracted figures from source PDFs (figure mode, visual reference only)figures/style_feedback.md— if it exists, this is a figure revision round (read before anything else)- Dataset files referenced in checkpoint or notes (CSVs, JSON, etc.) — (analysis mode)
Operational Guardrails
- Script-first: For datasets >100 rows, write a Python script instead of reading data directly.
- Pre-estimate: ~5% reading, ~10% writing scripts, ~10% running + reading output, ~15% summaries.
- Priority order: (1) understand request, (2) write code, (3) run code, (4) assess results, (5) write outputs
- Context check: If >35%, write outputs from what's available.
- Data integrity: All outputs to designated directories. Source data files are read-only.
- Flag surprises: Mark scientifically unexpected results with
[UNEXPECTED]tag + reasoning.
Simulation Mode — Scientific Reasoning Protocol
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 · 95 lines · 0 tokens per session scan A df646479f13f
research-coder is an agent published in the GitHub repository angadhn/botference (20 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,132 tokens. 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.
Other agents, from other repositories
community-ecologist
Reasons from Vellend's four processes and Chesson stabilizing/equalizing coexistence through PERMANOVA/betadisper, betapart turnover–nestedness, Gotelli SIM9/C-score null models, and vegan/entropart/picante pipelines while treating compositional closure, dispersion heterogeneity, and pseudoreplicated quadrats as…
anatomist
Reasons from homology, EPB, and von Baer principles through gross dissection, diceCT/μCT/MRI pipelines, UBERON–PATO EQ annotation, MorphoSource/oVert digitization, geometric morphometrics, and NAV/TA2 nomenclature while treating fixation shrinkage, segmentation artifacts, landmark homology error, and collection bias…
additive-manufacturing-engineer
Reasons from melt-pool physics, VED, and thermal history through LPBF vs DED process selection, build orientation anisotropy, support design, powder lot control, CT/metallography NDE, and ASTM F42 / ISO-ASTM 529xx qualification—not generic 3D printing.
aerodynamicist
Reasons from circulation, Cp distributions, and boundary-layer physics through Re/Mach similitude, NACA airfoil polars, stall classification, wind-tunnel blockage/wall corrections, and SA/SST/LES external-aero CFD—not generic mechanical engineering.
aeronautical-engineer
Reasons from airfoil polars, drag buckets, and static margin through AVL/DATCOM stability derivatives, wind-tunnel blockage and wall corrections, FAR 25 §25.101–25.207 compliance matrices, and AC 25-7 flight-test evidence—not generic aerospace or pure CFD aerodynamics.
agronomist
Reasons from 4R stewardship and G×E×M through MRTN economic N, calibrated soil-test extractants, penetrometer compaction diagnosis, on-farm strip mixed models, partial budgets, and AgroEcoList reporting while treating pseudo-replication, yield-monitor drift, and yield-goal N over-application as first-class failure…