hydraflow: Skill for Codex

.codex/skills/hf.test-adequacy/SKILL.md

hf.test-adequacy is a skill for Codex from T-rav/hydraflow. It costs 25 tokens per session (499 once invoked), scanned A, original, Apache-2.0.

A read-only check of whether changed production code has tests for its main behavior, regressions, edge cases, and error paths. Production code is the code used by the application, rather than its tests.

In plain words
What is it for?
Use it on a branch or working diff to assess each changed production function, method, or class and report coverage gaps.
Why use it?
It highlights missing tests before changes are merged, when uncovered problems are easier to address.

Skill for Codex

Written for Codex: installed under .codex/.

This is T-rav/hydraflow's own configuration. It tells Codex how to work on hydraflow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything hydraflow configures →

Reuse

Borrowing it

Nothing to install: this file belongs to T-rav/hydraflow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/T-rav/hydraflow/staging/.codex/skills/hf.test-adequacy/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/T-rav/hydraflow

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 hf.test-adequacy

README.md
[![agentmods](https://agentmods.dev/badge/skills/t-rav/hydraflow/hf.test-adequacy.svg)](https://agentmods.dev/skills/t-rav/hydraflow/hf.test-adequacy)
Your own site
<a href="https://agentmods.dev/skills/t-rav/hydraflow/hf.test-adequacy"><img src="https://agentmods.dev/badge/skills/t-rav/hydraflow/hf.test-adequacy.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 499 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 $0.00025 $0.00499
Opus 5 $0.00013 $0.00249
Sonnet 5 $0.00005 $0.00100
Haiku 4.5 $0.00003 $0.00050

Measured 7d ago against content hash 76fe7560b915, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

hf.test-adequacy 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.

.codex/skills/hf.test-adequacy/SKILL.md · 63 lines

How it starts

The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Test Adequacy Check

Assess whether changed production code has adequate test coverage. This is a read-only assessment — it does not modify files.

When to Use

  • After implementing changes, before committing
  • To verify test coverage for new and changed code
  • When reviewing a branch for test completeness

Instructions

  1. Get the diff of changes on the current branch:

    git diff origin/main...HEAD
    

    If that's empty, fall back to git diff (unstaged) or git diff --cached (staged).

  2. Identify all changed or added production files (exclude test files).

  3. For each changed production function/method/class, verify:

    • Has a corresponding test — at least one test exercises the new/changed code path
    • Edge cases covered — empty inputs, None values, boundary conditions, error paths
    • Regression safety — if existing behavior changed, tests verify the new behavior
    • No test-only gaps — new test utilities or fixtures are themselves tested if non-trivial
  4. Produce structured output:

If coverage is adequate:

TEST_ADEQUACY_RESULT: OK
SUMMARY: All changed code has adequate test coverage

If gaps exist:

TEST_ADEQUACY_RESULT: RETRY
SUMMARY: <comma-separated list of gap categories>
GAPS:
- <production_file:function — what test is missing>

Important

  • Do NOT modify any files. This is a read-only assessment.
  • Focus on whether production code is tested, not test code style.
  • Ignore test file changes when assessing adequacy.
  • Be pragmatic: simple getters/setters don't need dedicated tests. Focus on logic, branches, and error paths.

Note: implementer-loop gate also runs a deterministic coverage-delta check

When test-adequacy runs inside the implementer loop (not this interactive slash command), AgentRunner._run_skill additionally runs make coverage 0 after the LLM verdict and overrides a PASS to RETRY if any changed production line has zero coverage hits. This slash command remains read-only and LLM-only; the subprocess coverage check is an implementer-loop-only behaviour.

Read the full file on GitHub · 63 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. 7d ago First seen · 63 lines · 25 tokens per session scan A 76fe7560b915

Subscribe to this mod's changes

hf.test-adequacy is a skill published in the GitHub repository T-rav/hydraflow (5 stars, last pushed 2d ago), licensed Apache-2.0. It adds 25 tokens to every session and 499 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 2026-08-31.

Related

Other skills, from other repositories

debug

Run /debug to find and fix a bug's root cause: a test failing for an unclear reason, /check verify finding a failure, or behavior being wrong. Runs a reproduce, localize, hypothesize, test, fix, verify loop, makes the minimal fix, and hands a regression test to /test. No features, no extra refactors.

jsmastery-pro/skills · 74 tokens

check

Confirm a change before merge. /check verify drives the real app to prove behavior against the spec (every acceptance criterion met, every surface built). /check review runs a senior code review on a fresh model, one that did not write the code. Verify after /develop, review before a PR. Writes to docs/reviews/, never…

jsmastery-pro/skills · 74 tokens

holdout-validation

Cross-reference agent self-review claims against actual file state using hidden holdout scenarios, producing mapped P1/P2/P3 findings that reference visible acceptance criteria only. Use when verifying implementation completeness after self-review in start (Phase 4 VERIFY), address (convergence check), or review…

synaptiai/synapti-marketplace · 120 tokens

runtime-verification

Verify code works at runtime through build verification (mandatory), LSP diagnostics, ad-hoc verification for projects without frameworks, E2E and smoke tests, and visual verification (screenshot-analyze-verify for UI changes). Skip whitelist strictly enforced (markdown-only, config-only, dependency-bump-only with…

synaptiai/synapti-marketplace · 116 tokens

visual-verification

Verify UI-facing changes by running a screenshot-analyze-verify loop across configured viewports, with a browser-tool priority cascade (Playwright MCP → Chrome DevTools MCP → CLI fallback → external skill fallback) and bounded iteration. Use after build/runtime verification passes and the diff includes…

synaptiai/synapti-marketplace · 137 tokens

finding-reconciliation

Merge the independent A/B/C findings tables into one adjudicated ledger in 07-verification/documentation-verification-report.md — normalizing to the finding schema, deduplicating by location and claim, recording per-finding corroboration without downgrading single-pass findings, promoting cross-pass disagreement to…

synaptiai/synapti-marketplace · 150 tokens