substrate-framework: Skill for Codex

.agents/skills/research-pr-harvest/SKILL.md

research-pr-harvest is a skill for Codex from vantasnerdan/substrate-framework. It costs 65 tokens per session (1,519 once invoked), scanned A, original, Apache-2.0.

A review workflow for research pull requests, which are proposed code changes shared for review. It decides separately whether useful work should be merged, whether a scientific claim is supported, and whether the larger research goal is complete.

In plain words
What is it for?
Use it to assess externally supplied research pull requests and preserve valuable utilities, subclaims, route results, and validation records.
Why use it?
It prevents merging reusable code or intermediate results from being mistaken for proof of a scientific claim or completion of the whole project.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

This is vantasnerdan/substrate-framework's own configuration. It tells Codex how to work on substrate-framework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything substrate-framework configures →

Reuse

Borrowing it

Nothing to install: this file belongs to vantasnerdan/substrate-framework. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/vantasnerdan/substrate-framework/main/.agents/skills/research-pr-harvest/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/vantasnerdan/substrate-framework

Made for: 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-pr-harvest

README.md
[![agentmods](https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/research-pr-harvest/github.svg)](https://agentmods.dev/skills/vantasnerdan/substrate-framework/research-pr-harvest)
Your own site
<a href="https://agentmods.dev/skills/vantasnerdan/substrate-framework/research-pr-harvest"><img src="https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/research-pr-harvest/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-pr-harvest

Your own site · 80×15
<a href="https://agentmods.dev/skills/vantasnerdan/substrate-framework/research-pr-harvest"><img src="https://agentmods.dev/badge/skills/vantasnerdan/substrate-framework/research-pr-harvest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,519 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.
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 $0.00065 $0.01519
Opus 5.5 $0.00026 $0.00608
Sonnet 5.5 $0.00013 $0.00304
Haiku 4.5 $0.00006 $0.00152

Measured 1mo ago against content hash fd28bcd3fdd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-pr-harvest 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.

.agents/skills/research-pr-harvest/SKILL.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research PR Harvest

The elite harvest lands the strongest useful positive statement with the minimum truthful repair. Keep three decisions separate: artifact merge, scientific claim promotion, and whole-goal completion. Provenance and reuse are valuable; they acquire accepted scientific authority through governance, not by merging.

Apply AGENTS.md for the reward, terminal campaign, ownership, and review contract. This skill serves existing external PRs or terminal campaign PRs; active local campaigns preserve intermediate utilities and subclaims as branch commits while continuing their parent objective.

Achievement 1 — a clear, authorized boundary

Read the PR, goal issue, base release, accepted scope, diff, tests, and discussion. Load physics-erdos-loop for physics and the applicable code-review/impact workflow. Use current GitNexus or AST/source analysis for changed symbols and consumers; independently reason about the science and omitted alternatives.

Identify exactly one canonical issue that predates even the draft PR. Use Advances #N for incomplete higher goals and Fixes #N for full success. For an external PR missing that issue, create it, preserve the original PR as provenance, and open a compliant focused harvest afterward.

A user-supplied PR authorizes a non-author/non-implementer agent to process its normal lifecycle: review/comment, metadata, corrections, focused harvest, eligible merge, qualified closure, and issue update. Use a distinct merger by default. The user or repository owner may explicitly direct an authoring agent to self-merge a named PR; record the override separately from independent scientific review. Preserve contributor history, unrelated branches, the user's objective, and promotion boundaries. Report an actual permission/protection barrier with the exact next action rather than assuming broader authority.

Achievement 2 — useful units and minimum repairs

Group independently mergeable units or materially different risks, not every file or theorem entrypoint. Examples: utility, exact identity, solver/verifier, conditional component, speculative composition, or a reviewed durable narrative. Record each unit's statement, dependencies, evidence, consumers, and usefulness without the favored headline.

Read the full file on GitHub · 132 lines

Files

What ships with it

1 file 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. 1mo ago Changed · +2 lines fd28bcd3fdd3
  2. 1mo ago Changed · -118 lines · -22 tokens per session 4f32446dcc01
  3. 2mo ago First seen · 248 lines · 87 tokens per session scan A b0b4961d9200

Subscribe to this mod's changes

research-pr-harvest is a skill published in the GitHub repository vantasnerdan/substrate-framework (5 stars, last pushed 11d ago), licensed Apache-2.0. It adds 65 tokens to every session and 1,519 once invoked, about $0.0003 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 2026-08-31.

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