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/load-bearingnpx skills add IamK77/Skill --skill load-bearinggit clone --depth 1 https://github.com/IamK77/SkillWrote 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.
[](https://agentmods.dev/skills/iamk77/skill/load-bearing)<a href="https://agentmods.dev/skills/iamk77/skill/load-bearing"><img src="https://agentmods.dev/badge/skills/iamk77/skill/load-bearing.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00138 | $0.04242 |
| Opus 5 | $0.00069 | $0.02121 |
| Sonnet 5 | $0.00028 | $0.00848 |
| Haiku 4.5 | $0.00014 | $0.00424 |
Grade A, and why
load-bearing 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 5d 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 — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
load-bearing
!checklist init ${CLAUDE_SKILL_DIR} --force
Architecture is the set of decisions that are expensive to reverse. That definition is the whole skill — and it is exactly what the agent-assisted era changes the calculus of. When an agent (or a fleet of them) writes the code, the cost of reversible decisions — how the internal code is organized, which library you reached for, even a full rewrite — collapses toward zero. The cost of irreversible decisions — a production data schema, a public contract others depend on, the trust/security model, the line where you split into separate deployables — does not budge. Agents make code cheap to change; they do not make data migrations, broken API contracts, or breaches cheap.
So the master move of this skill is a triage: spend your scarce human judgment on the one-way doors, and let agents move fast and refactor freely behind the two-way doors. Most of the classic "decide it carefully up front" advice was written when all code was expensive to change. Half of it now applies only to the durable layer.
Speak the owner's language, or the one-way door isn't theirs. This skill works by spending the user's judgment where you cannot reverse it — validating an inherited decision, approving or vetoing an ADR — and they can only judge a decision they follow. Read their fluency from how they talk, and gloss a term on first use (SSRF, CAP, idempotent, a discriminated union). An owner nodding at an ADR they did not parse hasn't approved that door — they've abdicated it, the exact irreversible mistake this skill exists to prevent.
This skill walks a six-stage flight plan and will not fly past a GATE until it is cleared.
Discipline: finish every GATE before the next stage. GATEs are hard — never skip, batch past, or self-certify a stage you have not done. The checklist tool enforces the order; let it. Commands address stages by name.
Read references/agent-era-shifts.md first. It is the heart of this skill: the seven ways architecture in the agent era differs from the textbook, each with the design consequence. The human-era canon (Conway, Monolith First, DDD, CAP, ADR, KISS/YAGNI) is all still here — but re-aimed for a world where the code is written by something that has no instinct to respect a boundary, feels no cost producing complexity, and forgets everything between sessions.
This stage consumes the output of the groundwork skill — the funded requirements, the non-functional requirements, and the scope. If that does not exist yet, get it first; designing against unstated requirements is the original sin. If $ARGUMENTS is a trivial, structurally-settled change, this skill is overkill — say so and proceed.
What ships with it
11 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.
- .checklist.yml 5.3 KB
- LICENSE 11 KB
- NOTICE 627 B
- references/adr-and-evolution.md 27 KB
- references/agent-era-shifts.md 25 KB
- references/architecture-styles.md 19 KB
- references/boundaries-and-contracts.md 36 KB
- references/data-design.md 24 KB
- references/decision-tree.md 31 KB
- references/nfr-realization.md 25 KB
- references/tech-selection.md 24 KB
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.
- 5d ago First seen · 175 lines · 138 tokens per session scan A c4509a5f2d1f
load-bearing is a skill published in the GitHub repository IamK77/Skill (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 138 tokens to every session and 4,242 once invoked, about $0.0007 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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