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.
npx agentmods add skills/iamk77/skill/bulwarknpx skills add IamK77/Skill --skill bulwarkgit clone --depth 1 https://github.com/IamK77/SkillWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00228 | $0.04135 |
| Opus 5 | $0.00114 | $0.02067 |
| Sonnet 5 | $0.00046 | $0.00827 |
| Haiku 4.5 | $0.00023 | $0.00413 |
Grade A, and why
bulwark 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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
bulwark
!checklist init ${CLAUDE_SKILL_DIR} --force
A bulwark is the wall that holds a defended thing against constant pressure — it does its job by standing, not by being remembered. bulwark is the seventh and last skill of the surface suite, the 1-to-N lens for a frontend that is already alive, and its enemy has changed: the earlier stages built the thing; this one fights entropy. Its product is an architecture that enforces itself — boundaries fossilized into lint rules, a living design system, abstractions pruned not just stacked — so the system stays cheap to change as people and features multiply. There is no exit: 1-to-N is a steady state, so health criteria replace exit criteria. It runs across gated stages and will not advance past a GATE until the checklist tool clears it — order enforced, substance yours.
The one move that governs everything: make the architecture self-enforcing. A living system rots along two lines — boundary erosion (the state classification and module isolation you drew get punctured by one "just this once" cross-import at a time) and two-graph drift (features pile on, the component tree and the data-dependency graph slowly diverge, state migrates into the wrong bucket, derived values get stored). The master's core move is not vigilance — it's to make the architecture enforce itself, because at scale no one remembers the rules. A boundary that lives only in someone's head, or a wiki, will be violated; a boundary the machine rejects at merge time holds. Everything here is a way to move a rule out of human memory and into a gate.
This is where the agent era bites:
- The agent's default is "add," never "remove." It will add a feature, an abstraction, a flag, a store slice — and never delete, never reclassify, never prune the dead. So the global store grows, abstractions accrete, dead flags linger, and the two graphs drift — all invisibly, because adding turns green and pruning earns nothing. Entropy is the agent's natural output.
- The agent crosses boundaries for convenience. A direct import into another feature's internals is the shortest path to working code, and the agent feels no cost to the architecture — so unless the machine rejects it, the boundary you designed quietly dissolves into "whoever was in a hurry."
- The agent reaches for a rewrite and over-abstracts. It will rebuild rather than refactor, and pile speculative structure that the next session must read through — so the discipline of delete the wrong abstraction, extract only on the rule of three must be enforced, not trusted.
Read references/the-membrane.md first — the heart; for bulwark, lean on the scope axis (boundaries and isolation — the same "spooky action at a distance" CSS/scope problem, now at the module level) and the two-graphs axis (the drift you are fighting), plus the meta-principle optimize for change, not for the first version. Load at the start, re-check at every gate.
Speak the user's language. The calls here are the user's — which boundary is load-bearing, is this abstraction earning its keep, should team structure change to fit the architecture. Read their fluency and gloss a term on first use (a fitness function, dependency-cruiser / import rules, a public-API module, Conway's law and inverse Conway, an ADR, dead-code / unused-export pruning, a stale feature flag). An enforcement rule the user can't evaluate is a constraint imposed, not a shared decision.
What ships with it
9 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.
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.
- 2d ago First seen · 146 lines · 228 tokens per session scan A 783c1ce62146
bulwark is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 228 tokens to every session and 4,135 once invoked, about $0.0011 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 2026-08-31.
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