Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add melodic-software/claude-code-plugins/plugin install performanceWrote 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.
[](https://agentmods.dev/skills/melodic-software/claude-code-plugins/verify)<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/verify"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/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.
<a href="https://agentmods.dev/skills/melodic-software/claude-code-plugins/verify"><img src="https://agentmods.dev/badge/skills/melodic-software/claude-code-plugins/verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00092 | $0.02937 |
| Opus 5.5 | $0.00037 | $0.01175 |
| Sonnet 5.5 | $0.00018 | $0.00587 |
| Haiku 4.5 | $0.00009 | $0.00294 |
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 18d 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.
How it starts
The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arguments. [<claim or target>]. e.g. /performance:verify the 4-to-1 spawn reduction
Purpose
Answers "is this result real, and what does it actually say?"
This phase is where blocking correctness defects that the implementer, the implementer's own test suite, and a full green CI run all missed get caught. That is why it is a separate phase from measurement and not a step inside it.
Read ${CLAUDE_PLUGIN_ROOT}/reference/harness-integrity.md first.
1. Fresh context, and adversarial by construction
Dispatch a verifier that does not inherit the implementer's numbers. Give it the trees and the claim; withhold the reasoning that produced the figures. A verifier shown the expected answer verifies the answer, not the work.
The brief should say, in substance: distrust the reported numbers, re-derive them yourself, and report what you actually observe including the ways you could not reproduce it.
The brief also sets a turn budget, a limit the verifier keeps for itself: 30 turns, stop gathering and
re-measuring by turn 22, and spend the remaining turns writing the report. Run the highest-value
checks first: re-derive the headline number and the differential before any secondary check. A
report that ends short names what it did not reach under Not covered:. A verification that ran out
of turns is not complete, so anything unreached stays NOT MET or unverified.
Two independent verifiers routinely find different defects, so one verifier is the floor, not the target.
2. Prove behavior did not change, with a differential
A passing test suite is not a behavior proof. It proves nothing asserted broke. It does not prove behavior is unchanged, because it only checks what someone thought to assert.
Run a differential: the pre-change and post-change subject over a harvested corpus of real inputs,
requiring byte-identical output. Use the bundled one rather than writing one:
python3 "${CLAUDE_PLUGIN_ROOT}/scripts/differential.py" --baseline <path> --candidate <path> --config <json>. Its config takes a matrix of modes, and it refuses a run where neither arm ever
produced output. Run it from the Bash tool, whose shell resolves python3 (type -P python3 names
the one it found); a bare name inside another process's subprocess call searches a different
PATH (harness-integrity rule 6). The module docstring documents the config.
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.
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.
- 18d ago Changed · +6 lines f655c63ca1d0
- 20d ago Changed · +31 lines 5ec7a075177d
- 21d ago Changed · +35 lines · -80 tokens per session 9e41c81c1053
- 25d ago Changed · +16 lines 45456588b82a
- 1mo ago Changed · +6 lines d2dde6ee21b0
- 1mo ago Changed · -1 tokens per session b510cf8810dc
- 1mo ago First seen · 99 lines · 173 tokens per session scan A 54f20272e24c
verify is a skill published in the GitHub repository melodic-software/claude-code-plugins (26 stars, last pushed today), licensed MIT. It adds 92 tokens to every session and 2,937 once invoked, about $0.0004 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 2026-09-03.
Other skills, from other repositories
agent-test-generator
Specialist subagent: Generates comprehensive test suites using TDD patterns. Use only when the user explicitly asks for tests, improved coverage, or test-first development.
testing
TDD/BDD testing principles. Use when writing tests, reviewing test coverage, setting up testing, or discussing test strategy and test architecture.
workflow-analysis
Analyse obligatoire en 4 étapes (comprendre, analyser, documenter, valider) avant toute modification de code, puis implémentation TDD. Use when starting a feature, bugfix or refactoring, or before touching existing code with unclear impact.
benchmark-before-optimize
For performance work: measure before changing, profile to find bottlenecks, compare before and after.
test-structural-invariants
For data structure validation: test lengths, relationships, constraints that must hold, verify setup is correct.
test-with-examples
For example-driven development: test cases as specifications, input/output pairs, documentation through examples.