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/joshuadavidthomas/agent-skills/coding-standardsnpx skills add joshuadavidthomas/agent-skills --skill coding-standardsgit clone --depth 1 https://github.com/joshuadavidthomas/agent-skillsWrote 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/joshuadavidthomas/agent-skills/coding-standards)<a href="https://agentmods.dev/skills/joshuadavidthomas/agent-skills/coding-standards"><img src="https://agentmods.dev/badge/skills/joshuadavidthomas/agent-skills/coding-standards.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 5.1 | $0.00071 | $0.01624 |
| Opus 5 | $0.00036 | $0.00812 |
| Sonnet 5 | $0.00014 | $0.00325 |
| Haiku 4.5 | $0.00007 | $0.00162 |
Grade A, and why
coding-standards 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 6d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Coding Standards
“Thus, programs must be written for people to read, and only incidentally for machines to execute.”
— Abelson and Sussman, Structure and Interpretation of Computer Programs
“In this connection it might be worth-while to point out that the purpose of abstracting is not to be vague, but to create a new semantic level in which one can be absolutely precise.”
— Edsger W. Dijkstra, “The Humble Programmer”
Good code solves a real problem through a model people can understand, use, change, and repair. It tells the truth at the right grain: concepts named where they matter, valid states made clear, boundaries translated, consequences visible, failures classified, behavior verified, and unnecessary structure deleted.
Borrow design pressure, not ecosystem ceremony: impossible states and explicit failure/effect boundaries from Rust; domain modules and algebraic modeling from ML traditions; anti-corruption boundaries from integration-heavy systems. Translate the idea into the host language's native tools.
Core Tenets
- Code communicates a model. Names, types, modules, tests, and interfaces should reveal what is true in the domain and what must not happen.
- Represent meaning at the right grain. Make important distinctions explicit; do not turn every primitive, parser detail, or storage artifact into domain vocabulary.
- Make valid states and transitions explicit. Prefer states, variants, lifecycle rules, and transition points over boolean blindness, nullable phases, and hidden ordering requirements.
- Shape deep modules. Put cohesive behavior behind low-burden interfaces at real seams; a shallow wrapper mostly gives the same work another name.
- Translate at boundaries. External, persisted, framework-shaped, protocol-shaped, or runtime-hop data should be mapped into the internal model before it reaches core logic.
- Make consequences legible. IO, mutation, time, network, async work, authority, retries, resource cost, and other effects should be visible where they affect reasoning.
- Handle errors as part of the design. Expected failures belong in contracts; defects and operational causes need different recovery, reporting, and diagnostics.
- Verify the real claim. Tests and checks should prove behavior, invariants, transitions, boundaries, and failure modes through real seams, not private choreography.
- Delete what does not carry meaning. Collapse speculative generality, indirection mazes, stale shapes, duplicate concepts, and test-only surfaces unless they protect a real obligation.
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.
- README.md 2.3 KB
- references/boundaries.md 7.9 KB
- references/complexity.md 7.0 KB
- references/domain-modeling.md 6.9 KB
- references/effects.md 9.7 KB
- references/error-handling.md 13 KB
- references/maintainability.md 11 KB
- references/modules.md 15 KB
- references/state.md 6.3 KB
- references/verification.md 6.8 KB
- references/vocabulary.md 11 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.
- 6d ago First seen · 86 lines · 71 tokens per session scan A 5988235deb58
coding-standards is a skill published in the GitHub repository joshuadavidthomas/agent-skills (50 stars, last pushed 1mo ago), licensed MIT. It adds 71 tokens to every session and 1,624 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.
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