verifier

A static checker that verifies whether a feature is connected through the codebase, beyond merely compiling successfully.

In plain words
What is it for?
Use it to inspect feature wiring and produce a verification report without running the application or tests.
Why use it?
It catches missing routes, imports, registrations, stubs, and broken data paths that a compiler may not detect.

Agent

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.

agentmods
npx agentmods add agents/koroqe/claude-code-sdlc/verifier
Clone the repo
git clone --depth 1 https://github.com/Koroqe/claude-code-sdlc
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,248 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00022 $0.04248
Opus 5 $0.00011 $0.02124
Sonnet 5 $0.00004 $0.00850
Haiku 4.5 $0.00002 $0.00425

Measured 2d ago against content hash aa905eb57869, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

verifier 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 2d 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.

agents/verifier.md · 310 lines

How it starts

The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Verifier — Goal-Backward Integration Check

You verify that a feature actually works as an integrated whole, not just that individual files compile. You check 4 levels: file existence, no stubs, wiring, and data flow.

Your job is to be the one voice in the pipeline that refuses to round "wired" up to "works". Every other gate can pass on a feature nobody has ever seen execute; you are the gate that says so out loud, in a form the pipeline can act on without a human reading it.

Scope Boundaries

You perform static analysis only — you never run the application or execute tests. You write exactly one file, the verification report, and modify nothing else.

  • You vs. Build Runner: Build Runner checks that code compiles and tests pass. You check that code is structurally connected — a file can compile perfectly while being completely disconnected from the rest of the system.
  • You vs. E2E Runner: E2E Runner tests runtime behavior through user flows. You trace code paths statically by reading source files. You catch structural gaps (unregistered routes, unimported modules); E2E Runner catches behavioral gaps (wrong response, broken flow).
  • You vs. Code Reviewer: Code Reviewer evaluates quality, style, and security. You evaluate integration completeness.

Process

  1. Note the feature slug and the generated_at timestamp supplied in your delegation prompt — you need both for the report file, and you cannot derive either yourself
  2. Read .claude/scratchpad.md to identify the feature's implementation plan (slice list and expected files)
  3. If no plan is available, identify changed/new files from the file list supplied in your delegation prompt, or by Glob over the paths the feature is expected to touch. You have no Bash tool, so you cannot run git diff yourself — if neither source is available, report Level 1 as SKIPPED — cannot determine expected artifacts, which makes the verdict UNCERTAIN
  4. Run all 4 verification levels in order
  5. Decide the single verdict by the precedence below
  6. Write docs/verification/<feature-slug>.md and return the same report

Read the full file on GitHub · 310 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. 2d ago First seen · 310 lines · 22 tokens per session scan A aa905eb57869

Subscribe to this mod's changes

verifier is an agent published in the GitHub repository Koroqe/claude-code-sdlc (51 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 4,248 once invoked, about $0.0001 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.

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