autosurvey-execution

autosurvey-execution is a skill for Claude Code, Codex from sillyDaibo/reasflow-dev. It costs 25 tokens per session (2,674 once invoked), scanned A, original, MIT.

A workflow for running AutoSurvey, a research pipeline that prepares and drafts survey outlines, related-work sections, and papers with language-model agents.

In plain words
What is it for?
Use it to run the full AutoSurvey process, including outline creation, paper drafting, and related-works writing.
Why use it?
It organizes the data preparation and drafting steps needed for a largely unattended survey workflow.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; mentions Codex.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is if [ -d ./.agents/skills ]; then.

Good fit Use it to run the full AutoSurvey process, including outline creation, paper drafting, and related-works writing.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/sillyDaibo/reasflow-dev
agentmods
npx agentmods add skills/sillydaibo/reasflow-dev/autosurvey-execution

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 autosurvey-execution

README.md
[![agentmods](https://agentmods.dev/badge/skills/sillydaibo/reasflow-dev/autosurvey-execution/github.svg)](https://agentmods.dev/skills/sillydaibo/reasflow-dev/autosurvey-execution)
Your own site
<a href="https://agentmods.dev/skills/sillydaibo/reasflow-dev/autosurvey-execution"><img src="https://agentmods.dev/badge/skills/sillydaibo/reasflow-dev/autosurvey-execution/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 autosurvey-execution

Your own site · 80×15
<a href="https://agentmods.dev/skills/sillydaibo/reasflow-dev/autosurvey-execution"><img src="https://agentmods.dev/badge/skills/sillydaibo/reasflow-dev/autosurvey-execution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,674 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 $0.00025 $0.02674
Opus 5 $0.00013 $0.01337
Sonnet 5 $0.00005 $0.00535
Haiku 4.5 $0.00003 $0.00267

Measured 9d ago against content hash 02b130774461, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

autosurvey-execution 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/autosurvey_tools.py, scripts/prompts_vendored.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/reasflow/survey/autosurvey-execution/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Installed Root

Resolve the installed reasflow-dev skills root before running packaged scripts:

REASFLOW_SKILLS_ROOT="${REASFLOW_SKILLS_ROOT:-}"
if [ -z "$REASFLOW_SKILLS_ROOT" ]; then
  if [ -d ./.agents/skills ]; then
    REASFLOW_SKILLS_ROOT="$(pwd)/.agents/skills"
  elif [ -d "$HOME/.agents/skills" ]; then
    REASFLOW_SKILLS_ROOT="$HOME/.agents/skills"
  else
    echo "reasflow shared skills not found in ./.agents/skills or $HOME/.agents/skills" >&2
    exit 1
  fi
fi

REASFLOW_PRIVATE_SKILLS_ROOT="${REASFLOW_PRIVATE_SKILLS_ROOT:-}"
if [ -z "$REASFLOW_PRIVATE_SKILLS_ROOT" ]; then
  if [ -d ./.codex/reasflow-skills ]; then
    REASFLOW_PRIVATE_SKILLS_ROOT="$(pwd)/.codex/reasflow-skills"
  elif [ -d "$HOME/.codex/reasflow-skills" ]; then
    REASFLOW_PRIVATE_SKILLS_ROOT="$HOME/.codex/reasflow-skills"
  else
    echo "reasflow private skills not found in ./.codex/reasflow-skills or $HOME/.codex/reasflow-skills" >&2
    exit 1
  fi
fi

AutoSurvey Execution

Overview

Run the AutoSurvey pipeline using Codex's configured model for all LLM work. Python handles data operations and prompt preparation; Codex survey subagents handle the actual drafting stages.

Architecture

Three layers:

  1. Python autosurvey_tools.py — pure data operations + prompt preparation using AutoSurvey's original templates. Outputs JSON files with prepared prompts.
  2. Codex subagentssurvey-outline, survey-section-writer, survey-related-works, survey-judge.
  3. Workspace artifacts — prompt JSON, outline Markdown, survey draft, and LaTeX/BibTeX outputs.

batch_chat maps to multiple spawn_agent calls, each followed by wait_agent. chat maps to one spawn_agent + wait_agent.

Retrieval inside the writing stages prefers the local paper pool. When --library-dir (default survey/library) contains paper JSON produced by the autosurvey-paper-retrieval skill, autosurvey_tools.py builds an in-memory ExternalPaperDatabase from it and never touches AutoSurvey's embedding/Pinecone stack. AutoSurvey is only loaded as a fallback when the library is empty.

Read the full file on GitHub · 182 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. 9d ago First seen · 182 lines · 25 tokens per session scan A 02b130774461

Subscribe to this mod's changes

autosurvey-execution is a skill published in the GitHub repository sillyDaibo/reasflow-dev (2 stars, last pushed 12d ago), licensed MIT. It adds 25 tokens to every session and 2,674 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 2026-08-31.

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