bounded-evaluation

bounded-evaluation is a skill for Codex from markoblogo/abvx-agent-skills. It costs 55 tokens per session (558 once invoked), scanned A, original, MIT.

A small, explicit method for testing changes to agent outputs, skills, prompts, or tool contracts. It defines test cases, scoring rules, pass thresholds, and safeguards for comparing results.

In plain words
What is it for?
Use it to create regression tests, compare two agent responses, review skill changes, or set a limited ship gate with deterministic, human, or AI checks.
Why use it?
It makes it easier to tell whether a change actually improves behavior and reduces misleading results from weak rubrics or biased AI judging.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions AGENTS.md.

Good fit Use it to create regression tests, compare two agent responses, review skill changes, or set a limited ship gate with deterministic, human, or AI checks.

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Install with agentmods
npx agentmods add skills/markoblogo/abvx-agent-skills/bounded-evaluation
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 bounded-evaluation
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 bounded-evaluation

README.md
[![agentmods](https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/bounded-evaluation.svg)](https://agentmods.dev/skills/markoblogo/abvx-agent-skills/bounded-evaluation)
Your own site
<a href="https://agentmods.dev/skills/markoblogo/abvx-agent-skills/bounded-evaluation"><img src="https://agentmods.dev/badge/skills/markoblogo/abvx-agent-skills/bounded-evaluation.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 558 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00558
Opus 5 $0.00028 $0.00279
Sonnet 5 $0.00011 $0.00112
Haiku 4.5 $0.00006 $0.00056

Measured 7d ago against content hash 3e68e07e625c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

bounded-evaluation 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 7d 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/bounded-evaluation/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bounded Evaluation

Use this skill when a change needs a small, explicit evaluation gate.

Use When

  • reviewing skill changes, AGENTS.md rules, prompt playbooks, or SET bundle changes;
  • comparing two agent outputs or proposals;
  • using an LLM judge where bias or weak rubrics could mislead;
  • creating activation tests, regression cases, or ship gates for agent behavior;
  • deciding whether a repeated workflow improved after a bounded edit.

Evaluation Contract

A bounded eval must state:

  • target artifact or behavior;
  • candidate outputs or versions;
  • rubric dimensions and weights, if any;
  • pass/fail threshold;
  • fixtures or scenarios;
  • judge type: deterministic check, human review, LLM judge, or hybrid;
  • known bias risks and mitigation.

Pairwise And Judge Rules

  • Compare A/B outputs against the same rubric.
  • Swap candidate order when using an LLM judge to detect position bias.
  • Require reasons before scores, but treat reasons as evidence to inspect, not truth.
  • Mark the eval invalid when swapped order changes the winner without a defensible reason.
  • Prefer deterministic checks for syntax, schema, file existence, and command success.
  • Keep human approval for high-stakes or ambiguous decisions.

Workflow

  1. Define the smallest behavior being evaluated.
  2. Pick 1-5 representative fixtures or scenarios.
  3. Choose deterministic checks before LLM judging.
  4. If using pairwise judging, run both candidate orders.
  5. Record results, invalidations, and decision.
  6. Feed accepted/rejected outcomes back into the relevant ledger.

Output Shape

Use:

  • eval target;
  • fixtures;
  • rubric;
  • judge type;
  • results;
  • bias checks;
  • decision: accept, reject, revise, or invalid;
  • follow-up artifact or ledger update.

Guardrails

  • Do not publish benchmark claims without committed fixtures, arms, model, host, run count, and captured artifacts.
  • Do not let an LLM judge approve its own rubric changes.
  • Do not use pairwise preference as proof of correctness.
  • Do not hide invalid or inconsistent judge results.

Read the full file on GitHub · 75 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. 7d ago First seen · 75 lines · 55 tokens per session scan A 3e68e07e625c

Subscribe to this mod's changes

bounded-evaluation is a skill published in the GitHub repository markoblogo/abvx-agent-skills (15 stars, last pushed 13d ago), licensed MIT. It adds 55 tokens to every session and 558 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 2026-08-30.