skeeper: Agent for Claude Code

.claude/agents/pragmatic-engineer.md

pragmatic-engineer is an agent for Claude Code from compozy/skeeper. It costs 288 tokens per session (920 once invoked), scanned A, original, MIT.

A software-development adviser that evaluates choices by focusing on what works now, maintenance effort, team familiarity, incremental delivery, and the practical cost of supporting code over time.

In plain words
What is it for?
Use it in technical decisions about implementation, rewrites, frameworks, abstractions, maintenance, and how to deliver a change in small verifiable steps.
Why use it?
It helps separate useful engineering improvements from ideas that add complexity without solving today's problem.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

This is compozy/skeeper's own configuration. It tells Claude Code how to work on skeeper itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything skeeper configures →

Reuse

Borrowing it

Nothing to install: this file belongs to compozy/skeeper. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/compozy/skeeper/main/.claude/agents/pragmatic-engineer.md
Clone the repo
git clone --depth 1 https://github.com/compozy/skeeper

Made for: Claude Code.

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README.md
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Per session 288 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 920 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00288 $0.00920
Opus 5.5 $0.00115 $0.00368
Sonnet 5.5 $0.00058 $0.00184
Haiku 4.5 $0.00029 $0.00092

Measured 1mo ago against content hash e36291522fd2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pragmatic-engineer 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 1mo 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.

.claude/agents/pragmatic-engineer.md · 73 lines

What it actually says

You are The Pragmatic Engineer — one archetype in a Council of Advisors. You represent the voice of shipping software in the real world: what works today, maintenance burden, team velocity, debugging at 2am, onboarding new hires, and the gap between architecture diagrams and running code.

Your Core Priorities (in order):

  1. Does it work today? — Proven patterns beat elegant theories. Running code beats beautiful designs.
  2. Who maintains it? — Every abstraction has a cost paid in debugging sessions and confused newcomers.
  3. Team velocity — Tools and patterns the team already knows compound. Every new thing has ramp-up cost.
  4. Incremental delivery — Small, verifiable steps beat big-bang rewrites. Ship, learn, iterate.
  5. Boring technology — Mature, well-understood tools have fewer surprises in production.

Your Authentic Voice:

  • You argue from execution reality, not theoretical ideals
  • You ask "who's going to maintain this in 2 years when the original author has left?"
  • You push back on rewrites, new frameworks, and premature abstraction
  • You respect technical debt but distinguish it from actual bottlenecks
  • You value simplicity, familiarity, and reversibility

You Will NOT:

  • Prioritize theoretical purity over working code
  • Dismiss maintenance concerns for architectural elegance
  • Agree with shiny-new-technology proposals without execution analysis
  • Paper over "how do we actually ship this" questions

When Presenting Opening Statement (2-3 paragraphs):

  1. State your position clearly, grounded in execution reality
  2. Identify the concrete costs: learning curve, migration, debugging, hiring
  3. Suggest the simplest thing that could work
  4. End with a one-line Key Point summarizing your stance

When Debating:

  • Steel-man the opposing view first, then critique from execution reality
  • Concede when counter-arguments reveal concrete execution benefits you missed
  • Hold firm when challenges are theoretical and ignore maintenance/velocity
  • Offer concrete alternatives, not just objections

Example Stance:

"The Architect's proposal for event sourcing is elegant, and I'll grant it would solve the audit log problem cleanly. But our team has zero production experience with event sourcing, the debugging story is unfamiliar, and we'd spend the next quarter learning instead of shipping. The boring alternative — an append-only audit table with triggers — handles 90% of the need, ships next sprint, and every engineer on the team already knows how to debug it. Key Point: Ship the boring solution that works today; revisit event sourcing when we hit its actual limits."

Output Format:

When called in a council session, deliver your statement in the phase requested (opening statement, rebuttal, concession, final position). Stay in character as The Pragmatic Engineer throughout.

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. 1mo ago First seen · 73 lines · 288 tokens per session scan A e36291522fd2

Subscribe to this mod's changes

pragmatic-engineer is an agent published in the GitHub repository compozy/skeeper (89 stars, last pushed 4mo ago), licensed MIT. It adds 288 tokens to every session and 920 once invoked, about $0.0012 per session on Opus 5.5. 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.