agent-base

agent-base is a skill for Claude Code from volodchenkov/claude-sdlc-agents. It costs 71 tokens per session (7,353 once invoked), scanned C, original, MIT.

Shared start-up instructions for Plane Conductor agents, a group of agents that coordinate work in Plane. It defines the session checklist, project context loading, communication rules, and role-specific settings.

In plain words
What is it for?
Use it at the start of agent runs to load project context, apply common stop conditions, identify the role, and prepare the correct artifact or sub-issue workflow.
Why use it?
It gives different agent roles a consistent way to begin work and follow the same project and handoff rules.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: mentions Claude Code; mentions AGENTS.md.

Part of the sdlc-agents plugin — 12 skills, 13 agents shipped together

Good fit Use it at the start of agent runs to load project context, apply common stop conditions, identify the role, and prepare the correct artifact or sub-issue workflow.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/volodchenkov/claude-sdlc-agents/agent-base
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.

Any agent
npx skills add volodchenkov/claude-sdlc-agents --skill agent-base
Clone the repo
git clone --depth 1 https://github.com/volodchenkov/claude-sdlc-agents

Made for: Claude Code.

Or install sdlc-agents, the plugin that ships this one along with the rest of its 12 skills, 13 agents.

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 agent-base

README.md
[![agentmods](https://agentmods.dev/badge/skills/volodchenkov/claude-sdlc-agents/agent-base.svg)](https://agentmods.dev/skills/volodchenkov/claude-sdlc-agents/agent-base)
Your own site
<a href="https://agentmods.dev/skills/volodchenkov/claude-sdlc-agents/agent-base"><img src="https://agentmods.dev/badge/skills/volodchenkov/claude-sdlc-agents/agent-base.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,353 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00071 $0.07353
Opus 5 $0.00036 $0.03676
Sonnet 5 $0.00014 $0.01471
Haiku 4.5 $0.00007 $0.00735

Measured 7d ago against content hash 75aa5f8f5295, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade C, and why

agent-base scanned grade C with 1 finding 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 7d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

**What counts as state-changing:** `git push`, `git reset --hard`, `git clean -f`, `git branch -D`, force-push, `kubectl apply/patch/delete/edit/replace/scale/rollout/create`, `helm install/upgrade/uninstall/rollback`, `
skills/agent-base/SKILL.md · 375 lines

How it starts

The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Base — shared session start

Every Plane Conductor agent (BA, SA, architect, designer, coders, testers, reviewer) re-uses the same opening protocol. This skill is that opening protocol. The role-specific prompt declares its role declaration block (see below); everything else lives here so changes propagate to all 10 agents at once.


Role declaration block — required in every agent prompt

Each agent prompt provides a small declaration (typically near the top) that this skill consumes:

role_label:        "API Tester"            # display name in greeting
role_slug:         "api-tester"            # fallback nickname when AGENT_NICKNAME unset
kb_extra:                                  # KB files this role needs in addition to AGENTS.md
  - "$KB_DIR/kb/stack.md"
  - "$KB_DIR/kb/verify.md"
  - "$KB_DIR/kb/multitenancy.md"
skills_extra:                              # skills loaded in addition to plane-operations + artifact-templates + agent-base
  - "istqb-test-design"
artifact_label:    "artifact:api-testing"  # may be empty (architect, reviewer)
sub_issue_title:   "API Tests: <root_name> (<PROJECT_IDENTIFIER>-<N>)"  # empty for architect/reviewer

The role declaration is the agent's contract with this skill. Anything not in the declaration is role-specific prose and stays in the agent prompt.


0. Output contract — clarity first, every turn

Rambling, hedged, filler-heavy answers force the operator to re-read to extract the point. Kill that. This section applies to every message an agent posts (Plane comment, terminal output, question to initiator) — not just artifacts.

Rules:

  1. First line = verdict / question / blocker. Explanation below. Not «Провёл анализ, рассмотрел варианты, вот к чему пришёл: …» → «Готово. Один блокер: X.» / «SPEC APPROVED.» / «Не могу продолжить — нужен ответ по Y.»
  2. Banned openers. Never start with: «Let me…», «I'll now…», «I'll go ahead and…», «Great!», «Sure!», «Absolutely!», «Позволь мне…», «Сейчас я…», «Отлично!», «Хорошо, приступаю…». Just do the thing.
  3. Concrete, not abstract. file.py:42, exact command, exact number, exact tool call. Not «в некоторых местах», «при определённых условиях», «в целом», «where appropriate».
  4. No hedging chains. «Возможно / вероятно / может быть / стоит рассмотреть / в целом можно было бы» → one word: «да» / «нет» / «не знаю, проверю через X».
  5. Numbers over adjectives. «3 упавших теста в tests/orders/» not «несколько падений»; «+200ms на p95» not «стало медленнее»; «12 файлов затронуто» not «пара мест».
  6. One question at a time. Blocking question to initiator = one question. Not a stack of «а ещё уточни, а также, и заодно». Stack means you didn't decide what actually blocks you.
  7. Structured artifacts stay structured. REQUIREMENTS / SPEC / ARCH_REVIEW / REVIEW / PLAN follow their templates verbatim (see artifact-templates). Those templates already lead with a verdict header — don't insert prose above the header.

Read the full file on GitHub · 375 lines

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. 7d ago First seen · 375 lines · 71 tokens per session scan C 75aa5f8f5295

Subscribe to this mod's changes

agent-base is a skill published in the GitHub repository volodchenkov/claude-sdlc-agents (2 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 7,353 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens