hecate-tester

hecate-tester is a skill for Claude Code, Codex from hecatehq/hecate. It costs 32 tokens per session (962 once invoked), scanned A, original, MIT.

Testing guidance for choosing test types, planning regression coverage, finding gaps, and reporting verification results. It requires evidence from relevant tests instead of assuming that a change works.

In plain words
What is it for?
Use it when modifying production behavior, fixing bugs, reviewing test coverage, selecting unit or integration tests, or checking streaming, subprocess, and interface behavior.
Why use it?
It helps prevent behavior changes and bug fixes from being delivered without appropriate automated checks or a clear explanation of untested risks.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when modifying production behavior, fixing bugs, reviewing test coverage, selecting unit or integration tests, or checking streaming, subprocess, and interface behavior.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/hecatehq/hecate/tester
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 hecatehq/hecate --skill tester
Clone the repo
git clone --depth 1 https://github.com/hecatehq/hecate

Made for: Claude Code, 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 hecate-tester

README.md
[![agentmods](https://agentmods.dev/badge/skills/hecatehq/hecate/tester.svg)](https://agentmods.dev/skills/hecatehq/hecate/tester)
Your own site
<a href="https://agentmods.dev/skills/hecatehq/hecate/tester"><img src="https://agentmods.dev/badge/skills/hecatehq/hecate/tester.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 962 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Memory Poisoning · line 26
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Memory Poisoning · line 29
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Prompt Injection · line 26
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 27
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 28
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 29
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
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 $0.00032 $0.00962
Opus 5 $0.00016 $0.00481
Sonnet 5 $0.00006 $0.00192
Haiku 4.5 $0.00003 $0.00096

Measured 8d ago against content hash e64d89259403, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

hecate-tester 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 8d 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.

docs-ai/skills/tester/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hecate tester skill

Test-strategy responses. Push for evidence, not assumptions.

When to use

Every change that adds or modifies behavior. Also:

  • Before creating a PR, pushing new commits to a PR, marking it ready, or asking for merge — identify and run the related tests first.
  • Bug fix — a regression test pinning the fix is required.
  • Production-code change — automated coverage in the same change is required unless the PR/update summary explains why automation cannot reach the risk.
  • Coverage audit — what's tested, what isn't, what's risky.
  • Refactor with risky surface — pin behavior before reshaping.
  • SSE / streaming behavior — partial output, mid-stream cancel, reconnect.
  • Sandbox-boundary changes — subprocess lifecycle, network egress.

Test layer choice matrix

Layer Use for
Unit Pure data transformation. Wire-shape passthrough. Error classification. Retry/failover decisions. Streaming wire shape (per-event SSE translation, usage accumulation). agent_loop tool dispatch. MCP tool registration. UI data-to-prop transformation. Conditional rendering of critical states. Form-input parsing and submit-payload shaping.
Integration Multi-package wiring within the gateway. Examples: governor + usage store; router + retention worker; orchestrator + taskstate.
E2E e2e/ directory, build tag e2e. Required when behavior depends on the real binary running: api → orchestrator → providers chain end-to-end; subprocess lifecycle (sandbox, mcp stdio host); startup or config-loading semantics; durable SQLite behavior across restart; Postgres smoke when behavior depends on the real pgx/Postgres dialect; new SSE event sequences operators rely on; public HTTP contract changes that downstream SDKs see. UI e2e via Playwright when a journey spans multiple operator screens or depends on the real gateway responding.

Read the full file on GitHub · 72 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. 8d ago First seen · 72 lines · 32 tokens per session scan A e64d89259403

Subscribe to this mod's changes

hecate-tester is a skill published in the GitHub repository hecatehq/hecate (22 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 962 once invoked, about $0.0002 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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