research[F]-iteration

research[F]-iteration is a skill for Claude Code, Codex from LMDHQ-0420/ResearchPilot-Skills. It costs 16 tokens per session (942 once invoked), scanned A, original, MIT.

A coding-stage aid for improving research code through repeated iterations and recorded changes.

In plain words
What is it for?
Use it to refine existing research code and maintain iteration records in the development log.
Why use it?
It gives iteration work a defined place in the research workflow and keeps a record of what changed during development.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to refine existing research code and maintain iteration records in the development log.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lmdhq-0420/researchpilot-skills/research-f-iteration
Install

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.

Any agent
npx skills add LMDHQ-0420/ResearchPilot-Skills --skill research-f-iteration
Clone the repo
git clone --depth 1 https://github.com/LMDHQ-0420/ResearchPilot-Skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for research[F]-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-f-iteration/github.svg)](https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-f-iteration)
Your own site
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-f-iteration"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-f-iteration/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.

agentmods 80×15 button for research[F]-iteration

Your own site · 80×15
<a href="https://agentmods.dev/skills/lmdhq-0420/researchpilot-skills/research-f-iteration"><img src="https://agentmods.dev/badge/skills/lmdhq-0420/researchpilot-skills/research-f-iteration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 942 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 50
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00016 $0.00942
Opus 5 $0.00008 $0.00471
Sonnet 5 $0.00003 $0.00188
Haiku 4.5 $0.00002 $0.00094

Measured 13d ago against content hash 0a0019986d92, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research[F]-iteration 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 13d 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.

skills/ResearchPilot-Skills-en/research[F]-iteration/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Phase F: Code Iteration and Model Improvement

user_requirements.md priority: All user constraints in docs/user_requirements.md take precedence over any default instruction in this skill. Always read that file before generating any output.

Workflow Overview & Outputs

ResearchPilot-Skills splits a complete academic research project into seven independent stage skills. The current skill is one link in that chain.

Seven-Stage Chain

Skill Phase Main Output
/research[A]-exploration Direction Exploration docs/idea_report.md Part 1
/research[B]-idea Idea Deepening docs/idea_report.md Part 2
/research[C]-experiment Experiment Design docs/idea_report.md Part 3
/research[D]-implementation Implementation Design docs/implementation.md
/research[E]-coding Coding code/ + docs/dev_log.md
/research[F]-iteration Code Iteration dev_log.md iteration records
/research[G.0]-plan Paper Planning manuscript architecture + notebooks/figures.ipynb
/research[G.1]-method Method manuscript Method section
/research[G.2]-experiments Experiments manuscript Experiments section
/research[G.3]-abstract Abstract manuscript Abstract
/research[G.4]-introduction Introduction manuscript Introduction
/research[G.5]-related Related Works manuscript Related Works
/research[G.6]-conclusion Conclusion + References manuscript Conclusion
/research[G.7]-review Full-paper Review review report

Project Directory Structure

docs/
  idea_report.md        # Part 1 (Phase A) / Part 2 (Phase B) / Part 3 (Phase C)
  implementation.md     # Coding guide (Phase D)
  dev_log.md            # Dev log (append-only, never delete)
  user_requirements.md  # User constraints, collected by Claude
  papers/               # Downloaded PDFs or abstract TXTs
  manuscripts/          # Phase G paper drafts

code/
  src/models/{model}.py / baseline/
  src/data/ / src/train.py / src/evaluate.py / src/utils/
  scripts/              # nohup shell scripts
  configs/
  data/ / results/ / logs/
  README.md / requirements.txt

Read the full file on GitHub · 109 lines

Files

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.

Changes

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.

  1. 13d ago First seen · 109 lines · 16 tokens per session scan A 0a0019986d92

Subscribe to this mod's changes

research[F]-iteration is a skill published in the GitHub repository LMDHQ-0420/ResearchPilot-Skills (284 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 942 once invoked, about $0.0001 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 2026-08-30.

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