agentmods.dev

agent-implementation-skill

A structured workflow for using AI models during software development, from research and planning through implementation and root-cause analysis.

In plain words
What is it for?
Planning features, examining an existing codebase, comparing AI models, finding constraints, breaking work into sections, implementing changes, and investigating causes of problems.
Why use it?
It organizes a large development task into clear phases and helps decide what work and information are needed at each stage.

Skill for Claude CodeCodex

3 1mo ago C scan 86 tokens original MIT
View the source file nestharus/agent-implementation-skill
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/nestharus/agent-implementation-skill/src
Any agent
npx skills add nestharus/agent-implementation-skill --skill src
Clone the repo
git clone --depth 1 https://github.com/nestharus/agent-implementation-skill

Made for: Claude Code, Codex.

Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,777 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 1 finding. 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 $0.00086 $0.03777
Opus 5 $0.00043 $0.01888
Sonnet 5 $0.00017 $0.00755
Haiku 4.5 $0.00009 $0.00378

Measured yesterday against content hash 8a6024387193, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

agent-implementation-skill 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 yesterday.

The scan reads SKILL.md. This mod also ships 28 executable files (_config.py, bootstrap/__init__.py, bootstrap/routes.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.

Recursive force deletehighDestructive command

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

Clean up planspace when workflow is fully complete (`rm -rf` the workspace dir).
src/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Development Workflow

Single entry point for the full development lifecycle. Read this file, determine what phase you're in or what the user needs, then read the relevant sub-file from this directory.

Paths

Everything lives in this skill folder. WORKFLOW_HOME is: !dirname "$(grep -rl '^name: agent-implementation-skill' ~/.claude/skills/*/SKILL.md .claude/skills/*/SKILL.md 2>/dev/null | head -1)" 2>/dev/null

When dispatching scripts or agents, export WORKFLOW_HOME with the path above. Scripts also self-locate via dirname as a fallback when invoked directly.

$WORKFLOW_HOME/
  SKILL.md              # this file — entry point
  implement.md          # multi-model implementation pipeline
  research.md           # exploration → alignment → proposal
  rca.md                # root cause analysis
  evaluate.md           # proposal review
  baseline.md           # constraint extraction
  audit.md              # concern-based problem decomposition
  constraints.md        # constraint discovery
  models.md             # model selection guide
  scripts/
    workflow.sh         # schedule state markers ([wait]/[run]/[done]/[fail]) — internal, not the entry point
    db.sh               # SQLite-backed coordination database
  tools/
    extract-docstring-py  # extract Python module docstrings
    extract-summary-md    # extract YAML frontmatter from markdown
    README.md             # tool interface spec (for Opus to write new tools)
  <system>/agents/      # agent definitions distributed across system modules (scan/, proposal/, implementation/, verification/, testing/, etc.)
  templates/
    implement-proposal.md   # 10-step implementation schedule
    research-cycle.md       # 7-step research schedule
    rca-cycle.md            # 6-step RCA schedule

Workspaces live on native filesystem for performance, separate from project:

  • Planspace: ~/.claude/workspaces/<task-slug>/ — schedule, state, log, artifacts, coordination database
  • Codespace: project root — where source code lives

Read the full file on GitHub · 338 lines

Files

What ships with it

60 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. yesterday First seen · 338 lines · 86 tokens per session scan C 8a6024387193

Subscribe to this mod's changes

agent-implementation-skill is a skill published in the GitHub repository nestharus/agent-implementation-skill (3 stars, last pushed 1mo ago), licensed MIT. It adds 86 tokens to every session and 3,777 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.

Data and AIPlanningResearchagent-skillsclaude-code-skillclaude-skills
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