delivery-methodology

delivery-methodology is a skill for Claude Code, Codex from pan94u/forge. It costs 32 tokens per session (1,549 once invoked), scanned A, original, no licence file.

A method for organising AI-assisted software delivery. It treats each working session as a unit and uses two feedback loops, recorded experience, quality checks, and parallel agents.

In plain words
What is it for?
Use it to structure AI coding sessions, coordinate multiple agents, record lessons, and apply quality gates.
Why use it?
It provides a repeatable way to coordinate coding work and check quality throughout delivery.

Skill for Claude CodeCodex

Part of the forge-superagent plugin — 14 skills 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/pan94u/forge/delivery-methodology
Any agent
npx skills add pan94u/forge --skill delivery-methodology
Clone the repo
git clone --depth 1 https://github.com/pan94u/forge

Made for: Claude Code, Codex.

Or install forge-superagent, the plugin that ships this one along with the rest of its 14 skills.

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 delivery-methodology

README.md
[![agentmods](https://agentmods.dev/badge/skills/pan94u/forge/delivery-methodology.svg)](https://agentmods.dev/skills/pan94u/forge/delivery-methodology)
Your own site
<a href="https://agentmods.dev/skills/pan94u/forge/delivery-methodology"><img src="https://agentmods.dev/badge/skills/pan94u/forge/delivery-methodology.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 1,549 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 $0.01549
Opus 5 $0.00016 $0.00775
Sonnet 5 $0.00006 $0.00310
Haiku 4.5 $0.00003 $0.00155

Measured 4d ago against content hash 50e525e464f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

delivery-methodology 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.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/baseline_drift.py, scripts/session_summary.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/forge-superagent/skills/delivery-methodology/SKILL.md · 200 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

6 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. 4d ago First seen · 200 lines · 32 tokens per session scan A 50e525e464f3

Subscribe to this mod's changes

delivery-methodology is a skill published in the GitHub repository pan94u/forge (40 stars, last pushed 2d ago), with no licence file. It adds 32 tokens to every session and 1,549 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.

Related

Other skills, from other repositories

mass-line

触发:当你需要收集多方意见、把零散反馈整合成可执行方案,或把方案带回真实使用者/执行者验证时调用;常见信号包括 stakeholder input、user feedback、意见汇总、对齐与验证。 English: Trigger when input must be gathered from many people, synthesized into a clearer plan, and returned to the affected users or executors for validation. Use this skill for a collect-synthesize-validate loop.

HughYau/qiushi-skill · 103 tokens

workflows

触发:当你面临的任务明显需要多个思想武器协作时调用;常见信号包括:从零启动新项目、攻坚复杂疑难问题、对已有方案进行迭代优化。此 skill 提供标准化的跨 skill 工作流组合,解决"应该先用哪个 skill、怎么衔接"的问题。 English: Trigger when a task clearly requires multiple skills in sequence. Use this skill to select a standard workflow that chains skills together, defines data handoff between steps, and specifies…

HughYau/qiushi-skill · 117 tokens

protracted-strategy

触发:当目标长期、任务复杂、资源暂时处于劣势,或短期无法速胜但又不能放弃时调用;常见信号包括 long-term effort、phased plan、endurance、战略耐心、需要分阶段推进。 English: Trigger when the work is long-horizon, difficult, and unlikely to be won quickly. Use this skill to divide the effort into stages, keep strategic confidence, and accumulate small wins into overall victory.

HughYau/qiushi-skill · 105 tokens

practice-cognition

触发:当你提出了方案、假设或判断,需要通过实践验证、试错迭代或复盘升级认知时调用;常见信号包括 experiment、prototype、validate、iterate、feedback loop。 English: Trigger when an idea, hypothesis, or plan must be tested in practice and improved through iteration. Use this skill to move from action to understanding and back to action in a spiral learning loop.

HughYau/qiushi-skill · 92 tokens

arming-thought

触发:在每次新的顶层对话开始时自动调用,用于建立“实事求是”的总原则,并在明确适用时为后续任务选择下游 skill;如果你是被派遣执行单一具体任务的子 agent,则跳过此 skill。 English: Trigger at the start of each new top-level conversation to establish the core methodology and select downstream skills only when clearly useful. Skip this skill when you are a delegated sub-agent handling a narrow…

HughYau/qiushi-skill · 108 tokens

pentest-playbook

7-phase pentest pipeline from passive recon to exploitation.

uphiago/recon-skills · 16 tokens