What is skillscope-e2e?

A complete workflow for testing and improving one coding-agent skill on one SkillsBench task. It runs the original skill, analyzes its behavior, rewrites it once when justified, and compares the results.

Use it to run the original and optimized task, inspect verifier and analysis artifacts, create one revised SKILL.md when needed, and compare both runs.

It shows whether a skill actually caused a problem and whether a revised version improves adherence without reducing task correctness.

skillscope-e2e — Skill for Codex by mathieu0905/skilllens

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 mathieu0905/skilllens --skill skillscope-e2e

Clone the repo

git clone --depth 1 https://github.com/mathieu0905/skilllens

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/mathieu0905/skilllens/skillscope-e2e/github.svg)](https://agentmods.dev/skills/mathieu0905/skilllens/skillscope-e2e)

Your own site

<a href="https://agentmods.dev/skills/mathieu0905/skilllens/skillscope-e2e"><img src="https://agentmods.dev/badge/skills/mathieu0905/skilllens/skillscope-e2e/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/mathieu0905/skilllens/skillscope-e2e"><img src="https://agentmods.dev/badge/skills/mathieu0905/skilllens/skillscope-e2e.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,976 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	$0.00072	$0.02976
Opus 5.5	$0.00029	$0.01190
Sonnet 5.5	$0.00014	$0.00595
Haiku 4.5	$0.00007	$0.00298

Measured 2mo ago against content hash fbf0174b57db, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

skillscope-e2e 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.

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/skillscope-e2e/SKILL.md · 334 lines

How it starts

The opening of the file, as written. The whole thing — 334 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SkillScope E2E

Use this skill for one selected (taskId, skillRelPath) instance.

The loop is:

select one task + one skill
  -> run original skill on that task
  -> collect trajectory and native verifier result
  -> run SkillScope graph-guided agent judge on the selected skill
  -> gate: pass-through, optimize, or mark not skill-caused
  -> generate exactly one optimized SKILL.md when gated for optimization
  -> rerun the same task with only that selected skill replaced
  -> judge the optimized trajectory and optimized skill
  -> compare native correctness and SkillScope non-compliance

Experiment Unit

Define the instance before running anything:

taskId: one SkillsBench task.
skillRelPath: one environment/skills/<skill-name>/SKILL.md.
trial: default 1 original trial and 1 optimized trial unless the user asks otherwise.
slug: one semantic experiment name for this instance.

Prefer one-skill SkillsBench tasks for the first clean loop. A one-skill task is one whose environment/skills directory contains exactly one SKILL.md.

If a task contains multiple skills:

Analyze and optimize only the selected skillRelPath.
Treat sibling skills as unchanged task context.
Do not merge sibling skills into the optimization target.
Do not optimize sibling skills in the same run.
If the current CLI cannot restrict rerun or propose steps to the selected skill, stop and either choose a one-skill task or add target-skill filtering before continuing.

Versioning Rule

Use git commits for code, workflow, and skill versions. Do not create v1, v2, v8, or similar artifact directories as a substitute for version control.

Use semantic experiment names for artifacts, for example:

.skilllens/experiments/skillsbench-codex-gpt55/azure-bgp-single-original
.skilllens/experiments/skillsbench-codex-gpt55/azure-bgp-single-optimized
.skilllens/experiments/skillsbench-codex-gpt55/right-shift-contract-smoke

Each final comparison must name the git commit, run plan path, original run root, selected skill path, optimized skill root, optimized run root, and both analysis reports.

Read the full file on GitHub · 334 lines

Files

What ships with it

1 file 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.

agents/openai.yaml 233 B

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 · 334 lines · 72 tokens per session scan A fbf0174b57db

Subscribe to this mod's changes

skillscope-e2e is a skill published in the GitHub repository mathieu0905/skilllens (2 stars, last pushed 4mo ago), licensed MIT. It adds 72 tokens to every session and 2,976 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 2026-08-31.

Building agents Testing

skillscope-e2e next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
skillscope-e2emathieu0905/skilllens	Skill	2	4mo ago	MIT	A	72	Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code