long-task-st

A release-testing procedure for a project whose listed features already pass their checks. It runs broader system tests before release, using established testing guidance.

In plain words
What is it for?
Use it to test the complete system after feature work is finished and prepare it for release.
Why use it?
It helps find problems that individual feature checks may miss before software is released. IEEE 829 and ISTQB are standards and guidance for planning and documenting software tests.

Skill for Claude CodeCodex

Part of the longtaskforagent plugin — 17 skills, 7 agents, 1 hook shipped together

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 skills/suriyel/longtaskforagent/long-task-st
Any agent
npx skills add suriyel/longtaskforagent --skill long-task-st
Clone the repo
git clone --depth 1 https://github.com/suriyel/longtaskforagent

Made for: Claude Code, Codex.

Or install longtaskforagent, the plugin that ships this one along with the rest of its 17 skills, 7 agents, 1 hook.

Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,635 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00032 $0.05635
Opus 5 $0.00016 $0.02818
Sonnet 5 $0.00006 $0.01127
Haiku 4.5 $0.00003 $0.00564

Measured 3d ago against content hash e535ef5c9e6d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

long-task-st 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 3d 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.

skills/long-task-st/SKILL.md · 402 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files 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.

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. 3d ago First seen · 402 lines · 32 tokens per session scan A e535ef5c9e6d

Subscribe to this mod's changes

long-task-st is a skill published in the GitHub repository suriyel/longtaskforagent (178 stars, last pushed 2mo ago), with no licence file. It adds 32 tokens to every session and 5,635 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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