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.
npx skills add TheGoat395/Codex-Skills --skill evidence-reconciliationgit clone --depth 1 https://github.com/TheGoat395/Codex-SkillsWrote 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.
[](https://agentmods.dev/skills/thegoat395/codex-skills/evidence-reconciliation)<a href="https://agentmods.dev/skills/thegoat395/codex-skills/evidence-reconciliation"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/evidence-reconciliation/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.
<a href="https://agentmods.dev/skills/thegoat395/codex-skills/evidence-reconciliation"><img src="https://agentmods.dev/badge/skills/thegoat395/codex-skills/evidence-reconciliation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00012 | $0.01430 |
| Opus 5 | $0.00006 | $0.00715 |
| Sonnet 5 | $0.00002 | $0.00286 |
| Haiku 4.5 | $0.00001 | $0.00143 |
Grade A, and why
evidence-reconciliation 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Reconciliation
Use this skill when a conclusion, plan, document update, vendor comparison, operational rule, price, timeline, limit, or capability depends on a material source conflict, authority ambiguity, stale state or mismatched scope—or when unusually high factual integrity calls for that reconciliation. Multiple consistent sources alone do not require a separate workflow.
Do not use it for simple writing that has no factual or source-conflict component.
Outcome
Produce a conclusion or revision that is traceable to the right source, preserves the existing capability floor, and never turns a related fact into a different fact merely because it supports an appealing answer.
First classify the request
Before answering or editing, separate each material statement into one of these states:
- Governing current rule — the newest controlling instruction, contract, configuration, or approved decision.
- Verified current fact — directly observed account, runtime, checkout, source, or official documentation state.
- Historical source — prior plan, old document, archived observation, or superseded draft.
- Source-supported interpretation — a conclusion reasonably drawn from evidence.
- Recommendation — a proposed choice, explicitly not yet adopted.
- Assumption or unknown — a gap that needs a source, test, or a visible decision.
Never collapse these categories. A trial credit is not automatically a send limit; a vendor marketing capacity is not a chosen operating capacity; a minimum is not a recommended target; an old plan is not the current rule.
For capacity or time claims, record the relevant units, population/system boundary, limiting dimensions, operating assumptions and clock anchor. Apply sender, allowance, trial and warmup dimensions only to commercial/outbound claims, using the capacity/timeline sub-ledger in the protocol. A conclusion must satisfy every applicable limit and prerequisite.
Establish authority before synthesis
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.
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.
- today Changed 8ee6ce6343b0
- 5d ago Changed · +2 lines · -29 tokens per session 403217bde59a
- 11d ago First seen · 114 lines · 41 tokens per session scan A 6c3b487ef7da
evidence-reconciliation is a skill published in the GitHub repository TheGoat395/Codex-Skills (122 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 1,430 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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