agentpack-dev

Development instructions for contributing to Agentpack itself, including its specifications, change proposals, release workflow, and Rust checks.

In plain words
What is it for?
Use them when changing Agentpack’s implementation, command-line JSON behavior, error codes, specifications, tests, or release records.
Why use it?
They guide contributors through the project’s required process instead of relying on undocumented conventions. This helps changes match the project contract and pass its verification steps.

Skill for Claude CodeCodex

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/liqiongyu/agentpack/agentpack-dev
Any agent
npx skills add liqiongyu/agentpack --skill agentpack-dev
Clone the repo
git clone --depth 1 https://github.com/liqiongyu/agentpack

Made for: Claude Code, Codex.

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 242 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00019 $0.00242
Opus 5 $0.00010 $0.00121
Sonnet 5 $0.00004 $0.00048
Haiku 4.5 $0.00002 $0.00024

Measured 3d ago against content hash 99df11d8952e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agentpack-dev 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.

.codex/skills/agentpack-dev/SKILL.md · 25 lines

What it actually says

agentpack-dev

This skill is for developing the agentpack repo (not for operating agentpack on another project).

Canonical docs (read first)

  • docs/CODEX_EXEC_PLAN.md (AI-first execution roadmap)
  • docs/SPEC.md (authoritative implementation contract)
  • docs/JSON_API.md + docs/ERROR_CODES.md (--json contract + stable error codes)

Spec-driven workflow (OpenSpec)

  • Read: openspec/AGENTS.md and openspec/project.md
  • Create proposal: openspec/changes/<change-id>/ (verb-led kebab-case)
  • Validate: openspec validate <change-id> --strict --no-interactive
  • After merge: archive via openspec archive <change-id> --yes (separate PR)

Local verification

  • cargo fmt --all -- --check
  • cargo clippy --all-targets --all-features -- -D warnings
  • cargo test --all --locked
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 · 25 lines · 19 tokens per session scan A 99df11d8952e

Subscribe to this mod's changes

agentpack-dev is a skill published in the GitHub repository liqiongyu/agentpack (18 stars, last pushed 6mo ago), licensed MIT. It adds 19 tokens to every session and 242 once invoked, about $0.0001 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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