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.
npx skills add joenandez/spectre --skill spectre-create_test_guidegit clone --depth 1 https://github.com/joenandez/spectreWrote 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/joenandez/spectre/spectre-create_test_guide)<a href="https://agentmods.dev/skills/joenandez/spectre/spectre-create_test_guide"><img src="https://agentmods.dev/badge/skills/joenandez/spectre/spectre-create_test_guide/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/joenandez/spectre/spectre-create_test_guide"><img src="https://agentmods.dev/badge/skills/joenandez/spectre/spectre-create_test_guide.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00070 | $0.00904 |
| Opus 5 | $0.00035 | $0.00452 |
| Sonnet 5 | $0.00014 | $0.00181 |
| Haiku 4.5 | $0.00007 | $0.00090 |
Grade A, and why
spectre-create_test_guide 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.
How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create_test_guide
Produce a manual testing guide, scaled to the change, that a human can run to validate the work. Input is the current task's changes; output is one checklist artifact.
Inputs
$ARGUMENTS— optional explicit feature name/root or descendant artifact, focus areas to emphasize, an explicit source-plan path, and--orchestratedwhen a parent workflow owns the next step.- Task context: features added/modified/removed, stack/environment, user personas, integration points/dependencies. Prioritize an explicitly passed source-plan path ahead of literal
plan.md; otherwise read from canonical artifacts (scope.md, plan.md, tasks.json slices) and the diff. Useexecute.mdonly to locatetasks.json; do not inline the full task graph.
Working Set
- Reuse a managed
FEATURE_ROOTonly when explicit/current-thread evidence ties it to this work (physical directory wins; never branch/recency/lifecycle/scans); distinct work ignores ambient roots. Otherwise, including on collision, standalone MUST first load and followSkill(spectre-feature-root)through DONE; orchestrated calls escalate. Keep writes beneath it and pass it unchanged. - Repair stale feature/root metadata in artifacts this workflow touches.
- Read-only: explicitly supplied feature artifacts and the implemented diff.
- Write: the single test-guide artifact only.
Outputs + DONE
Write to {FEATURE_ROOT}/testing/test_guide.md and begin immediately below the title with:
Feature: <feature-name>
Feature Root: .spectre/features/<feature-name>
DONE when:
- Complexity classified Simple | Medium | Complex with a one-line rationale (Simple = smoke/happy-path + quick regression; Medium = edge cases, error handling, basic integration; Complex = advanced scenarios, performance, cross-feature, security).
- Required sections present (always): Testing Overview (scope, environment, prerequisites) · Environment Setup (steps + verification) · Core Test Cases (primary functionality) · Results Documentation (how to record/report).
- Optional sections included only when relevant: Known Issues & Limitations · Rollback Procedures (high-risk/prod) · Performance · Accessibility (UI/UX) · Cross-Browser/Device (frontend) · Data Validation · Security (auth/permissions/data-access).
- Organized by user workflow/feature, not procedural phases; headers name the user goal.
- Each checkbox is an action + verification pair (e.g. "Send POST to /api/users → verify 201 with user ID returned"), using
[ ]for tracking; related steps grouped under one scenario; concrete test data (paths, names, shortcuts/UI elements in parens) included. - Depth scaled to change size (CSS tweak ≠ payment system); instructions runnable by someone unfamiliar with the code; no over-engineering for trivial changes.
- A coverage summary returned: # workflows, # steps, estimated time, and the chosen complexity tier + rationale.
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.
- 4d ago Changed a2d50b10da20
- 9d ago First seen · 56 lines · 70 tokens per session scan A 2454828537df
spectre-create_test_guide is a skill published in the GitHub repository joenandez/spectre (158 stars, last pushed 2d ago), licensed MIT. It adds 70 tokens to every session and 904 once invoked, about $0.0003 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.
Other skills, from other repositories
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
tika-eval-compare
Compare extracts from two Tika builds over a corpus to detect regressions in content, encoding, exceptions, and embedded-document handling. Use for "compare before/after extracts", "eval this change against the corpus".
neuron-evaluation-engineer
Create and run AI evaluations with datasets, assertions, and output drivers in Neuron AI. Use this skill whenever the user mentions evaluation, testing AI systems, creating evaluators, dataset-driven testing, assertion-based validation, or wants to measure AI system performance. Also trigger for tasks involving…
jetson-validate-image
Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.
atmos-validation
Validate Atmos projects, components, arbitrary JSON Schema inputs, EditorConfig, and GitHub Actions; use affected-file selection and native CI annotations.
skill-benchmark
Benchmark AI skill effectiveness by measuring implementation quality against legacy constraints.