What is reality-grounding?

A guided inquiry method for finding out how a situation actually works before giving advice or making a plan. It separates confirmed facts from reports, rules, and observed practice.

Use it when important facts are missing, several people describe the situation differently, or a decision depends on real-world feasibility.

Plans based on assumptions about permissions, evidence, people, or available resources can fail. This method gathers targeted evidence, tests it, and revises the understanding before deciding.

reality-grounding — Skill for Codex by Bono12138/bonobox

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 Bono12138/bonobox --skill reality-grounding

Clone the repo

git clone --depth 1 https://github.com/Bono12138/bonobox

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/bono12138/bonobox/reality-grounding/github.svg)](https://agentmods.dev/skills/bono12138/bonobox/reality-grounding)

Your own site

<a href="https://agentmods.dev/skills/bono12138/bonobox/reality-grounding"><img src="https://agentmods.dev/badge/skills/bono12138/bonobox/reality-grounding/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/bono12138/bonobox/reality-grounding"><img src="https://agentmods.dev/badge/skills/bono12138/bonobox/reality-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,984 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.

Model	Per session	Once invoked
Fable 5.1	$0.00083	$0.01984
Opus 5.5	$0.00033	$0.00794
Sonnet 5.5	$0.00017	$0.00397
Haiku 4.5	$0.00008	$0.00198

Measured 2mo ago against content hash a14b07e32b81, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reality-grounding 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/validate_reality_record.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.

tools/reality-grounding/reality-grounding/SKILL.md · 209 lines

How it starts

The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reality Grounding

Find enough reality to make the next decision without inventing an ideal organisation. This Skill is not a questionnaire and not a one-turn advice generator. It owns an active loop of inquiry, action, observed feedback and revision until the user confirms a real stopping point.

Capability version: 0.4.0.

Read references/active-inquiry.md when material facts are missing, the user asks for proactive investigation, or the available source should be chosen. Read references/reality-record-contract.md when the task needs a durable case record or will feed $reality-strategy. Use scripts/validate_reality_record.py before treating a substantial reality record as ready for strategy. Use references/evaluation-cases.md when testing or changing this Skill's routing and inquiry behaviour.

Lock the decision first

Identify the decision the user must make, the desired result, unacceptable downside, time limit, and which new fact could change the action. If there is no real decision yet, clarify the problem before collecting broad background.

Separate:

verified fact;
direct user observation or report;
formal rule;
observed practice;
supported inference;
working hypothesis;
unknown.

A document proves what it says, not that people follow it. A repeated Agent claim does not turn a hypothesis into a fact.

Before substantial advice, decide whether the current information can actually separate the available routes. If a material unknown changes the actor, first step, feasibility or social risk, ask first. A short preview of the branches may explain the question; it must not become a premature catalogue of advice.

Recover the original problem before accepting the proposed method

The user's account may mix an original need with a proposed mechanism. Do not assume that solving the named mechanism solves the real problem. Write both:

A — original result: what must become true in the real world;
B — proposed route: the process, system, permission, meeting, tool or other mechanism currently being discussed.

Read the full file on GitHub · 209 lines

Files

What ships with it

5 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.

2mo ago First seen · 209 lines · 83 tokens per session scan A a14b07e32b81

Subscribe to this mod's changes

reality-grounding is a skill published in the GitHub repository Bono12138/bonobox (6 stars, last pushed 1mo ago), licensed MIT. It adds 83 tokens to every session and 1,984 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 2026-09-05.

Planning Python Research ai-agents ai-tools automation mcp model-context-protocol

reality-grounding next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
reality-groundingBono12138/bonobox	Skill	6	1mo ago	MIT	A	83	Codex
@elad12390/web-research-assistantelad12390/web-research-assistant	Skill	9	10d ago	MIT	A	150	Claude Code, Codex
mcp-tool-developerLiHongwei-cn/lihongwei-cn	Skill	5	29d ago	MIT	A	38	Claude Code, Codex
click-to-mcpCoding-Dev-Tools/click-to-mcp	Skill	8	1mo ago	none	A	104	Claude Code
open-sourcebrowser-use/browser-use	Skill	120k	today	MIT	A	137	Claude Code
design-mcp-servercyanheads/obsidian-mcp-server	Skill	702	7d ago	Apache-2.0	A	62	Claude Code
api-canvascyanheads/obsidian-mcp-server	Skill	702	7d ago	Apache-2.0	A	85	Claude Code