Honesty Check

Honesty Check is a skill for Claude Code, Codex from wrg32786/aigent-os. It costs 65 tokens per session (1,361 once invoked), scanned A, original, MIT.

A completion checklist that records what changed, what stayed untouched, known issues, guesses, trade-offs, and limits of verification before work is called finished.

In plain words
What is it for?
Use it before declaring a fix, refactor, port, feature, or pull request ready or complete.
Why use it?
It makes remaining uncertainty and out-of-scope problems visible so others are not surprised later.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before declaring a fix, refactor, port, feature, or pull request ready or complete.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wrg32786/aigent-os/honesty-check
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 wrg32786/aigent-os --skill honesty-check
Clone the repo
git clone --depth 1 https://github.com/wrg32786/aigent-os

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 Honesty Check

README.md
[![agentmods](https://agentmods.dev/badge/skills/wrg32786/aigent-os/honesty-check/github.svg)](https://agentmods.dev/skills/wrg32786/aigent-os/honesty-check)
Your own site
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/honesty-check"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/honesty-check/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 Honesty Check

Your own site · 80×15
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/honesty-check"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/honesty-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,361 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 96
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00065 $0.01361
Opus 5 $0.00032 $0.00681
Sonnet 5 $0.00013 $0.00272
Haiku 4.5 $0.00006 $0.00136

Measured 8d ago against content hash 9d5865580c50, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

Honesty Check 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 8d 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/honesty-check/SKILL.md · 121 lines

How it starts

The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Honesty Check

Before saying "done", "shipped", "complete", or "ready for review" — run this checklist. The standard: the principal should never be surprised later by something the agent knew at the time. If known, told.

When to use

  • About to declare a piece of work complete
  • About to post "PR ready for review" / "fix shipped"
  • After any non-trivial fix, port, refactor, or feature
  • Triggered by Caddy on prompts like: "done", "shipped", "complete", "ready for review", "PR ready", "all good", "fix is in", "wrapped up", "task complete"

The ledger (volunteer ALL that apply, even unasked)

1. What changed AND what didn't

  • Files modified with 1-line summary each
  • The "untouched" section — equally important. What stayed the same that someone might assume changed?

2. Anything noticed but not fixed

  • Adjacent bugs you saw but didn't address (out of scope)
  • Tech debt encountered in the same file
  • Failing tests that were already failing
  • Dead code, stale comments

3. Any remaining uncertainty after verification

  • "I tested case X and Y. Case Z I could not reproduce locally — possible cause is W."
  • "Verification passed at runtime but I did not test the recovery path."

4. Any tradeoff made on the principal's behalf

  • Simplicity over flexibility ("could have made this configurable; chose constant for now")
  • Small fix over refactor ("the regex works but the right fix is a parser")
  • Speed over thoroughness ("I didn't update the 3 callers in test files; production callers all updated")

5. Any place you stopped short of what was asked, and why

  • "You asked for end-to-end; I covered A→B but B→C is in a separate file owned by another agent"
  • "Spec said add the 3 fields; I added 2 because the 3rd has no migration path yet"

6. Any cost/implication the principal might not have anticipated

  • Deploy required to take effect
  • API change → callers will break until updated
  • Migration needed before next release
  • Paid integration tier triggered
  • Cache invalidation required
  • New env var needed

Read the full file on GitHub · 121 lines

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. 8d ago First seen · 121 lines · 65 tokens per session scan A 9d5865580c50

Subscribe to this mod's changes

Honesty Check is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,361 once invoked, about $0.0003 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 2026-09-01.