evidence-ledger-research

evidence-ledger-research is a skill for Codex from markoblogo/abvx-agent-skills. It costs 73 tokens per session (594 once invoked), scanned A, original, MIT.

A research workflow for answering questions using exact evidence from sources such as official data, PDFs, and repository files.

In plain words
What is it for?
Use it for web and document research, policy or finance facts, tables, time-series data, calculations, and exact-answer extraction.
Why use it?
It helps prevent mistakes caused by outdated facts, unsuitable sources, mismatched units, or calculations based on incomplete information.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for web and document research, policy or finance facts, tables, time-series data, calculations, and exact-answer extraction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/evidence-ledger-research
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 markoblogo/abvx-agent-skills --skill evidence-ledger-research
Clone the repo
git clone --depth 1 https://github.com/markoblogo/abvx-agent-skills

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 evidence-ledger-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/evidence-ledger-research/github.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/evidence-ledger-research)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/evidence-ledger-research"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/evidence-ledger-research/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 evidence-ledger-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/evidence-ledger-research"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/evidence-ledger-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 594 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 pass 7 Sept 2026
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 $0.00073 $0.00594
Opus 5 $0.00036 $0.00297
Sonnet 5 $0.00015 $0.00119
Haiku 4.5 $0.00007 $0.00059

Measured 11d ago against content hash 24917d440501, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

evidence-ledger-research 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 11d 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/evidence-ledger-research/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evidence Ledger Research

Use this skill when the answer must be tied to exact evidence rather than memory or broad summaries.

Source Discipline

  • Prefer primary sources, official data pages, original PDFs, repository files, or provided/oracle documents.
  • If a guessed exact-date search fails, broaden to the official series, table name, dataset code, or download page.
  • Read only the narrow span needed after locating a promising source, then verify entity, period, basis, unit, and version.
  • If a provided document contains the answer, extract from it before searching elsewhere.
  • For volatile facts, verify the latest source before answering.
  • If evaluating Doc-to-LoRA or another document-memory method, pair this with doc-to-lora-evaluator and keep the baseline questions, source answers, and negative controls in the ledger.

Evidence Ledger

Maintain a compact ledger for multi-step answers:

Claim/operand:
Source:
Date/period:
Unit/scale:
Role:
Value/span:
Notes:

Use the ledger before arithmetic, comparisons, ranking, or final formatting. Do not compute from partial evidence unless the user explicitly accepts an estimate.

Table And Document Rules

  • Match row labels and exact column headers, not visual proximity alone.
  • Watch for repeated month rows, fiscal vs calendar sections, continuation tables, estimates, totals, and footnotes.
  • For forms and PDFs, locate the exact field/anchor in the question, then read the adjacent filled value from the same row, box, block, or table cell.
  • For visual/document QA, prefer the smallest exact text span that answers the question.
  • Preserve spelling, punctuation, capitalization, and numeric formatting when exact extraction matters.

Calculation Rules

  • Confirm every operand before calculating.
  • Track scale and direction: thousands/millions/billions, currency, exchange-rate orientation, sign, percent vs percentage points.
  • Preserve relation direction: "change from A to B" means B - A; "share accounted for by X" means X / total.
  • For time windows, enumerate expected periods first and verify endpoint inclusion.
  • Do not round intermediate values unless the source requires it.

Read the full file on GitHub · 58 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. 11d ago First seen · 58 lines · 73 tokens per session scan A 24917d440501

Subscribe to this mod's changes

evidence-ledger-research is a skill published in the GitHub repository markoblogo/abvx-agent-skills (16 stars, last pushed 3d ago), licensed MIT. It adds 73 tokens to every session and 594 once invoked, about $0.0004 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.