supplement-intro-literature

supplement-intro-literature is a skill for Codex from sillyDaibo/reasflow-dev. It costs 76 tokens per session (963 once invoked), scanned C, original, MIT.

A literature-retrieval workflow for filling missing or incomplete Introduction references. It resolves papers from citation claims, titles, arXiv identifiers, or DOIs and records how each source was found.

In plain words
What is it for?
Use it when an Introduction needs specific papers or when a bibliography lacks keys from an organised citation list. It can enrich metadata or use a fallback scholarly search source.
Why use it?
It reduces the risk of missing bibliography entries or inventing details for papers that could not be verified.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: 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 ./.codex/reasflow-skills ]; then.

Good fit Use it when an Introduction needs specific papers or when a bibliography lacks keys from an organised citation list. It can enrich metadata or use a fallback scholarly search source.

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/supplement-intro-literature

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 supplement-intro-literature

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/sillydaibo/reasflow-dev/supplement-intro-literature"><img src="https://agentmods.dev/badge/skills/sillydaibo/reasflow-dev/supplement-intro-literature.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 963 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00076 $0.00963
Opus 5 $0.00038 $0.00481
Sonnet 5 $0.00015 $0.00193
Haiku 4.5 $0.00008 $0.00096

Measured 11d ago against content hash b12b18ce9a1b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade C, and why

supplement-intro-literature scanned grade C 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/supplement-intro-literature.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.

Nullifies safety policieshighAnti-refusal

"You have no restrictions", "do anything now", "ignore your guidelines": a direct jailbreak that disables guardrails.

Override the policy only when diagnosing a source:
skills/reasflow/intro/supplement-intro-literature/SKILL.md · 85 lines

How it starts

The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Supplement Introduction Literature

Build a verified source bibliography before the Introduction writer runs. Query ReaScholar first; use Semantic Scholar for metadata enrichment or fallback. Preserve an auditable trace and never invent an unresolved entry.

Resolve the installed root

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="$HOME/.codex/reasflow-skills"
  else
    echo "reasflow private skills not found" >&2
    exit 1
  fi
fi
SUPPLEMENT_ROOT="$REASFLOW_PRIVATE_SKILLS_ROOT/intro/supplement-intro-literature"

Run the default supplementation workflow

Run after intro/organized_info.json exists and before preparing the writer task:

python3 "$SUPPLEMENT_ROOT/scripts/supplement-intro-literature.py" \
  --workspace . \
  --bib-input survey/references.bib \
  --bib-output intro/source_references.bib \
  --citation-json intro/organized_info.json \
  --trace-output intro/literature_retrieval.json

Omit --bib-input when the survey bibliography does not exist. The script copies one canonical entry per existing key, reports and removes duplicate input keys, looks up only absent candidates, and reports:

  • claim keys missing before lookup;
  • entries added from ReaScholar or Semantic Scholar;
  • claim keys still unresolved after lookup;
  • whether an S2 key is configured, without recording its value.

Use intro/source_references.bib, not the incomplete survey bibliography, as the writer's verified reference catalog.

Source policy

  1. Query ReaScholar first in fast mode.
  2. Match title-only results conservatively; reject weak title matches.
  3. For key-only recovery, combine the parsed key with its claim text, inspect up to five S2 candidates, and require author, year, title-hint, and claim-context agreement.
  4. Reject ambiguous candidates. A search result is not an identity match merely because it is ranked first.
  5. Fall back to Semantic Scholar when ReaScholar has no acceptable result.
  6. Enrich a ReaScholar result with S2 metadata when an S2 key is available.
  7. Preserve an upstream BibTeX key only after the returned paper identity is verified.
  8. Leave unresolved keys in the trace. Exclude them from the writer contract instead of fabricating BibTeX.

Read the full file on GitHub · 85 lines

Files

What ships with it

3 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. 11d ago First seen · 85 lines · 76 tokens per session scan C b12b18ce9a1b

Subscribe to this mod's changes

supplement-intro-literature is a skill published in the GitHub repository sillyDaibo/reasflow-dev (2 stars, last pushed 14d ago), licensed MIT. It adds 76 tokens to every session and 963 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (nullifies safety policies). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens