standards

A focused standards checker that loads only the engineering guidance relevant to supplied files, languages, and risks.

In plain words
What is it for?
Use it to determine applicable standards and report concrete findings with paths and lines when possible, without changing or approving the code.
Why use it?
It avoids reviewing against unrelated rules and makes findings traceable to specific standards and files.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/boshu2/agentops/standards
Any agent
npx skills add boshu2/agentops --skill standards
Clone the repo
git clone --depth 1 https://github.com/boshu2/agentops

Made for: Claude Code, Codex.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00033 $0.00988
Opus 5 $0.00016 $0.00494
Sonnet 5 $0.00007 $0.00198
Haiku 4.5 $0.00003 $0.00099

Measured 2d ago against content hash 8697f40980be, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 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.

images/gemini/skills/standards/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Standards — focused engineering guidance

Load the smallest set of standards justified by the caller's files, language, and risks. Do not preload the entire reference corpus.

Procedure

  1. Record the supplied paths, language, change type, and risk cues.
  2. Load common-standards.md plus only the matching language or checklist references.
  3. Compare the supplied artifact to those sources.
  4. Return cited findings with path and line when possible, plus checked and not-checked scope.
  5. Stop.

This skill provides context and findings. It does not edit, validate, retry, approve, commit, release, deliver, or decide continuation.

Load-bearing conventions for produced code (MEASURED)

When the caller is about to WRITE code (not only review it), surface the matching language rules INLINE in the working context — a behind-the-link reference does not change behavior; an inline imperative does. The Go core:

  • Wrap every propagated error with context: fmt.Errorf("doing X: %w", err) — never return a bare inner error.
  • Multi-case functions get TABLE-DRIVEN tests ([]struct cases + t.Run per case), asserting exact expected values including the error cases.

For other languages, pull the matching reference below and inline its top rules the same way.

Measured 2026-08-04, probe standards-go-conventions (gpt-5.6-luna, N=2, directional): control produced the %w-wrapped + table-driven shape in 1/2 runs; with these rules inline, 2/2. Inline-imperative beats reference-link — the graphify probe measured a linked doc instruction obeyed 0/2. Ledger: evals/skill-probes/LEDGER.md.

Mutation-safety standards

When the supplied change rewrites existing files in bulk — formatters, codemods, migration scripts, generators pointed at hand-written sources — check it against three standards and report each as a finding when absent:

  • Single audited mutation chokepoint. All rewrites flow through one named command or script whose inputs, outputs, and dry-run mode can be inspected. Edits scattered across ad-hoc one-liners and manual touch-ups are the diffuse mutation failure mode: no single point can be audited, re-run, or blamed. Finding: name every mutation path outside the chokepoint.
  • Hash-witnessed backups before rewrite. Before the chokepoint runs, the originals are preserved with content hashes recorded (a committed baseline counts), so "the rewrite changed only what it claims" is checkable byte-for-byte, not asserted. Finding: a bulk rewrite with no verifiable before-state.
  • Self-administered ambition gate. The change states what it deliberately does not touch, and the diff respects it. A formatter run that also renames, a codemod that also refactors, is the scope-creep rewrite failure mode. Finding: any file class in the diff outside the change's own stated scope.

Read the full file on GitHub · 102 lines

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. 2d ago First seen · 102 lines · 33 tokens per session scan A 8697f40980be

Subscribe to this mod's changes

standards is a skill published in the GitHub repository boshu2/agentops (431 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 988 once invoked, about $0.0002 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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