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 agentmods add skills/jpicklyk/task-orchestrator/test-authornpx skills add jpicklyk/task-orchestrator --skill test-authorgit clone --depth 1 https://github.com/jpicklyk/task-orchestratorWrote 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/jpicklyk/task-orchestrator/test-author)<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/test-author"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/test-author.svg" alt="Measured on agentmods" 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 | $0.00103 | $0.04220 |
| Opus 5 | $0.00051 | $0.02110 |
| Sonnet 5 | $0.00021 | $0.00844 |
| Haiku 4.5 | $0.00010 | $0.00422 |
Grade A, and why
test-author 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 — 311 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Test Authoring Framework
This skill defines how test authorship is separated from implementation. It exists because an
agent that writes both the code and its tests has no adversary in the loop — the tests confirm
what was built, not what was intended. The trend record backing this trait names the recurring
cost directly: vacuous positive assertions with || isEmpty() escapes, a test oracle computed
from the implementation's own formula, assumeTrue wrapped around three real production bugs so
they never turned the suite red, and coverage claimed in notes that didn't exist in the test
tree. review-quality already names the bias — "the agent that wrote the tests has an inherent
bias toward believing they're correct" — this skill is the structural fix upstream of review:
an independent authorship step, gated at the point where an oracle can still be frozen before
implementation exists to copy from.
Everything below applies whether the test author is a separate dispatch or, in a degraded mode, the same agent operating at a different, declared point in time. The separation is the point — follow it exactly even when it feels redundant with work you can already see.
1. When This Applies — The Two Seats
The trait needs-test-author puts two seats on an item, occupied at different phases:
- The plan author, at queue phase, fills
test-plan— scenarios, oracle sources, and probes, frozen before any implementation exists. This is the structural lever: an oracle written before code exists cannot be derived from that code, no matter who writes it later. - The test author, at work phase, fills
test-manifest— the actual test files, written after implementation has landed so they compile against the real signatures, but without reading the implementation's reasoning or its own tests.
Same-agent exception (Direct tier, temporal-only): for a single-item Direct-tier dispatch
there is no second agent to send the work to. The same agent may occupy both seats, but only
under a temporal-only degraded mode — see §11. The gate still applies: test-plan must exist
and be frozen before implementation begins, and the manifest must declare the single-actor mode
explicitly rather than silently reusing the plan author's context. This is a narrower guarantee
than true two-agent separation, and test-independence-audit records it as such
(independent-degraded), never as independent.
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.
- 4d ago First seen · 311 lines · 103 tokens per session scan A 0cd614aa0675
test-author is a skill published in the GitHub repository jpicklyk/task-orchestrator (205 stars, last pushed 1mo ago), licensed MIT. It adds 103 tokens to every session and 4,220 once invoked, about $0.0005 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
pneuma-project
Project-context awareness — multi-session workflows around one topic, shared materials and preferences, and cross-mode handoffs as a high-value user path.
vc-generate-phase-program
Generate kickoff artifacts for a multi-phase program: umbrella plan, Program Goal Charter, session-goal block, per-phase plan stubs, and the 7-step per-phase inner loop reference.
vc-intent-clarify
Clarify intent before RIPER-5 phase delegation. Scores ambiguity (4 signals); generates structured multi-choice questions for Tier 2. Two-mode: SIMPLE and DEEP.
vc-validate-findings
Use when running VALIDATE V2-V3 fan-out. Two-layer investigation (4 dimension agents + per-section feasibility agents) synthesized into PASS/CONDITIONAL/BLOCKED net gate. Strategy-agnostic.
vc-agent-browser
AI-optimized browser automation CLI with context-efficient snapshots. Use for long autonomous sessions, self-verifying workflows, video recording, and cloud browser testing (Browserbase).
vc-scenario
Generate comprehensive edge cases and test scenarios by decomposing features across 12 dimensions. Use before implementation or testing to catch issues early.