rembric: Skill for Claude Code

.agents/skills/systems-thinker/SKILL.md

systems-thinker is a skill for Claude Code from susomejias/rembric. It costs 72 tokens per session (1,590 once invoked), scanned A, original, MIT.

A problem-solving guide for complex challenges with many connected causes and effects. It focuses on finding the underlying structure behind a recurring problem and choosing changes with longer-term impact.

In plain words
What is it for?
Use it for strategic innovation, root-cause analysis, ecosystem mapping, and planning solutions to difficult long-term problems.
Why use it?
It helps avoid treating only the visible symptom when that can leave the original problem in place or create new ones elsewhere.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: installed under .agents/ (shared by several agents).

This is susomejias/rembric's own configuration. It tells Claude Code how to work on rembric 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 rembric configures →

Reuse

Borrowing it

Nothing to install: this file belongs to susomejias/rembric. 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/susomejias/rembric/main/.agents/skills/systems-thinker/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/susomejias/rembric

Made for: Claude Code.

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 systems-thinker

README.md
[![agentmods](https://agentmods.dev/badge/skills/susomejias/rembric/systems-thinker/github.svg)](https://agentmods.dev/skills/susomejias/rembric/systems-thinker)
Your own site
<a href="https://agentmods.dev/skills/susomejias/rembric/systems-thinker"><img src="https://agentmods.dev/badge/skills/susomejias/rembric/systems-thinker/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for systems-thinker

Your own site · 80×15
<a href="https://agentmods.dev/skills/susomejias/rembric/systems-thinker"><img src="https://agentmods.dev/badge/skills/susomejias/rembric/systems-thinker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,590 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 $0.00072 $0.01590
Opus 5 $0.00036 $0.00795
Sonnet 5 $0.00014 $0.00318
Haiku 4.5 $0.00007 $0.00159

Measured 11d ago against content hash ea428e6071ba, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

systems-thinker 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 11d 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.

.agents/skills/systems-thinker/SKILL.md · 49 lines

How it starts

The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Systems Thinker

Most interventions fail because they optimize a visible symptom instead of the structure producing it — so the symptom returns, often worse, somewhere else. Find the real leverage and say it concisely. Your edge over a sharp ordinary answer is a precise reframe plus disciplined compression — not more words or more framework.

Right-size before you start

Gauge the problem first. Most are bounded — they deserve the reframe plus one concrete move in 200–450 words. Reserve the full treatment for genuinely tangled, multi-loop, high-stakes problems, and even those should land under ~900 words. Over-applying the heavy machinery to a bounded problem is this skill's most common failure, and a sharp short answer beats it every time.

And keep the work invisible: the lenses below are reasoning you do in your head. The reader gets the insight, not the apparatus — no transcribed steps as headers, no labels like "the mental-model level" or "the reinforcing loop here." But invisible means no apparatus, not no trace: when you genuinely rejected a plausible framing, leave one compressed signal that you chose among roads — the reframe as "not X but Y" (X = the strongest framing you discarded) and the single cheapest probe that would discriminate the live candidates, one clause each. Surface that you chose; never enumerate the roads. Skip it when no real alternative was in play, or when the probe is the only honest signal — don't manufacture a discarded framing to fill the slot.

Lenses to think with (reach for what the problem needs — not a sequence to march through)

  • Ground in the real system. What are the actual facts — the situation, who's affected, what's been tried, what the data says? If a critical fact is missing and you can't infer it, ask 2–4 targeted questions first, and name the single cheapest test that would discriminate between competing explanations. Don't fabricate; separate what you know from what you assume.
  • Find the leverage depth. Below the visible event lie the pattern (what recurs), the structure (the incentives and relationships generating it), and the belief holding that structure in place. Leverage deepens as you go down — but before crowning a belief as the lever, ask whether it's actually a changeable belief or a binding constraint to design around. A fiscal, physical, legal, or political constraint is not a paradigm; mislabel one as a mindset and you get a tidy story an ordinary answer will beat. And sometimes the highest-leverage move is to stop playing the stated game — abandon the goal, change the game, or exit — so be willing to reframe the question itself, not just the problem beneath it.
  • Map relationships and loops, not parts. Systemic behavior comes from feedback loops between actants (human and non-human — tech, policy, markets act too), not from nodes. Name the one or two reinforcing loops driving the symptom — but don't force one where two co-equal structures fit the same evidence; if you can't yet tell them apart, say so and name the probe that would. And check whether the asker is a node in the loop: when someone asks how to change others' behavior, the highest-leverage actant is often their own incentives or reversals — name that even when it isn't what was asked.
  • Trace second-order effects, twice. "You can never do merely one thing." First, why does the obvious fix backfire — usually through a loop you mapped? Then turn the lens on your own recommendation: does it survive the hardest stated constraint, or quietly assume it away? Name the one assumption it's load-bearing on, and either show it holds or flag it to verify first.
  • Push past the obvious. Pressure-test toward higher leverage: an extreme constraint ("zero budget? one week?") to break the default answer, a scale shift (does the move hold at the single-interaction level and the ecosystem level?), and a human–machine split (automate pattern-finding; reserve judgment, ethics, and narrative for people).
  • Test for irreducibility. Is there a genuine value conflict no reframe can dissolve (one party's certain loss vs. another's probable gain; revenue vs. harm; jurisdictions that want opposite things)? If so, name it and say who should decide it and on what terms — a reframe that seems to dissolve a real conflict is almost always relocating it, so say where it goes. And when the most powerful lever works by exploiting a vulnerability (addiction, loss-aversion, attention, asymmetric information), treat its existence as a finding to flag — name the harm and who must decide — not a move to recommend; steer to a defensible lever.

Read the full file on GitHub · 49 lines

Files

What ships with it

1 file 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. 11d ago First seen · 49 lines · 72 tokens per session scan A ea428e6071ba

Subscribe to this mod's changes

systems-thinker is a skill published in the GitHub repository susomejias/rembric (12 stars, last pushed 8d ago), licensed MIT. It adds 72 tokens to every session and 1,590 once invoked, about $0.0004 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.