verify

verify is a skill for Claude Code from ilang-ai/autocode. It costs 0 tokens per session (823 once invoked), scanned A, original, MIT.

A verification procedure for checking that coding work behaves as intended. It compares each check's expected result with what actually happened, locally and again after deployment.

In plain words
What is it for?
Use it after implementing features and before or after publishing them. It helps review every changed file, run available tests, fix mismatches, and report checks as expected-versus-actual results.
Why use it?
It prevents claiming success without evidence and catches problems introduced by later changes or deployment. The results are written so a non-technical person can read them.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 skills/product-study/scripts/acceptance_run.py <site_dir> # local build.

Part of the autocode plugin — 10 skills shipped together

Good fit Use it after implementing features and before or after publishing them. It helps review every changed file, run available tests, fix mismatches, and report checks as expected-versus-actual results.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/ilang-ai/autocode
agentmods
npx agentmods add skills/ilang-ai/autocode/verify

Made for: Claude Code.

Or install autocode, the plugin that ships this one along with the rest of its 10 skills.

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 verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/ilang-ai/autocode/verify/github.svg)](https://agentmods.dev/skills/ilang-ai/autocode/verify)
Your own site
<a href="https://agentmods.dev/skills/ilang-ai/autocode/verify"><img src="https://agentmods.dev/badge/skills/ilang-ai/autocode/verify/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 verify

Your own site · 80×15
<a href="https://agentmods.dev/skills/ilang-ai/autocode/verify"><img src="https://agentmods.dev/badge/skills/ilang-ai/autocode/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 823 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 $0.00000 $0.00823
Opus 5.5 $0.00000 $0.00329
Sonnet 5.5 $0.00000 $0.00165
Haiku 4.5 $0.00000 $0.00082

Measured 4d ago against content hash 38e5998b7eb2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verify 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 4d 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/verify/SKILL.md · 61 lines

What it actually says

verify — S5: show the table, never say "tests passed"

[PROTOCOL:iLang|v=5.0|layer=declaration]

::PRIOR{dimension:completion|default:assume_incomplete|authority:system|scope:@JOURNEY} ::PRIOR{dimension:completion|default:not_live_until_url_opened_and_acceptance_rerun|authority:system|scope:@JOURNEY}

::GENE{verify|conf:confirmed|scope:global} T:check_after_every_feature|silently|fix_minor_things_without_saying T:run_tests_if_a_framework_exists|never_claim_a_run_that_did_not_happen T:full_review_before_save_and_deploy|every_file|logic|edges|security|hardcoded_values T:acceptance_runner_is_a_fixed_build_output|tool:product-study/scripts/acceptance_run.py T:checks_file_next_to_the_build|acceptance.js|acceptance.py|one_json_row_per_check T:table=check|expected|actual|match|readable_by_a_non_technical_person T:user_checks_listed_as_actions_to_perform|not_as_tests_passed T:fix_then_rerun_until_all_match|before_ship T:rerun_on_the_live_url_after_ship T:human_readable_commit_messages A:report_tests_passed⇒show_expected_vs_actual A:claim_tests_passed_without_running⇒reject A:announce_that_you_are_checking⇒silent A:say_tests_failed_to_the_user⇒fix_first_then_report A:partial_review⇒full_review A:skip_review_on_save⇒never A:no_headless_browser⇒rules_block_checks_in_node_or_python

::ACTIVATE{verify} ON:feature_complete ON:before_save ON:before_deploy ON:S4-build.step_complete ON:S6-ship.url_live ON:session_end

::STATE{@ACCEPT, the acceptance table}

[TEST:@ACCEPT|src=@LOCAL]=>[CHEK:@ACCEPT|whr=all_match]=>[Ω:@USER|fmt=text|typ=table]

::EVIDENCE{id:v1|deliverable:site|kind:test_output|ref:acceptance_table_local|verified_by:@TOOL|result:all_match} ::EVIDENCE{id:v2|deliverable:site|kind:test_output|ref:acceptance_table_live|verified_by:@TOOL|result:all_match} ::STATUS{@MVP|state:claimed_complete|evidence:v1|by:@AGENT|authority:proposal} ::STATUS{@MVP|state:verified|evidence:v2|by:@TOOL|authority:runtime}

python3 skills/product-study/scripts/acceptance_run.py <site_dir>                 # local build
python3 skills/product-study/scripts/acceptance_run.py <site_dir> --url <live>    # after ship

::SAY{@AUTOCODE→@USER}{ table: "5 自动加速 10000 次更新后速度 13.001 13.001 ✓ 一致 … 8/8 一致" to_user: "机器能查的 8 项全部一致。剩下请你亲手点:开始、空格跳、拖滑块、撞了重开。" }

Powered by iLang v5.0 | ilang.ai

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. 4d ago Changed 38e5998b7eb2
  2. 5d ago First seen · 61 lines · 0 tokens per session scan A 88441d1c0054

Subscribe to this mod's changes

verify is a skill published in the GitHub repository ilang-ai/autocode (104 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 823 tokens. 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 2026-10-15.

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