iso-24495-code
Plain language applied to source code (ISO 24495-1:2023 principles). Governs the parts of code a person reads: the order units appear in, their names, comments, and error messages. Applied when writing or restructuring code, not when explaining it.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add GaZmagik/iso-24495 --skill iso-24495-code
Maintenance
fresh
1d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
89
67/100 Quality · 71/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent adoption scorecard
Trust, audit, and install readiness at a glance
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
PromisingUseful candidate, but compare it with alternatives before adopting.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
89 GitHub stars
Repo activity
89 stars, 4 forks
Maintenance
1d since push
License
MIT
Install
npx skills add GaZmagik/iso-24495 --skill iso-24495-code
Install safety
standard package or runtime install path
Permission surface
secrets or environment access, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Review before production
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- GitHub adoption: 89 GitHub stars
- Stars/forks activity: 89 stars, 4 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Search sources
Suited agents
Install decision
- Command
- npx skills add GaZmagik/iso-24495 --skill iso-24495-code
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 63/100
- Audit
- 78/100
- Risk level
- Needs review
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add GaZmagik/iso-24495 --skill iso-24495-codeDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Secrets or environment access
- Dependency or permission surface needs review
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Agent safety v2
46/100 · Avoid automatic install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Browser automation
Skill may drive a browser or interact with web pages.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Filesystem access
Skill may read or write project files, documents, generated artifacts, or local workspace state.
high
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- High-risk permission hints: Secrets or environment access
- Dependency or permission surface needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install gazmagik-iso-24495-codeAgent resolve plan
Let an agent verify fit before installing.
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20iso-24495-code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20iso-24495-code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/gazmagik-iso-24495-code/install
Agent should check
- Task fit and alternatives from Resolve API.
- Audit score, trust score, and safety policy warnings.
- Install target compatibility for Codex, Claude Code, Cursor, or CLI.
Copy prompt
Task: Use iso-24495-code in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20iso-24495-code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gazmagik-iso-24495-code/install
Install command: npx skills add GaZmagik/iso-24495 --skill iso-24495-code
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Give an agent the install path, not another directory page.
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/gazmagik-iso-24495-code/install
LLM text format
/api/skills/gazmagik-iso-24495-code/install?format=text
Find alternatives
/api/skills/search?q=iso-24495-code&limit=3
Agent prompt
Use iso-24495-code for this task. Review https://www.openagentskill.com/api/skills/gazmagik-iso-24495-code/install, then install with: npx skills add GaZmagik/iso-24495 --skill iso-24495-codeRegistry metadata
Agent-readable profile for automatic skill selection.
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/gazmagik-iso-24495-code
LLM text
/api/registry/manifest/gazmagik-iso-24495-code?format=text
Install alias
/api/registry/install/gazmagik-iso-24495-code
Recommend
/api/registry/recommend?task=Use%20iso-24495-code%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
Needs review · 78/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Research agents
Trust label
Prototype first
Install path
Command ready
Use when
- Research agents workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 67/100 quality profile
review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Research agents task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK89 GitHub stars
Stars/forks activity
CHECK89 stars, 4 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Quality score needs review
- Permission surface needs review: secrets or environment access, filesystem or document access
- GitHub adoption: 89 GitHub stars
- Stars/forks activity: 89 stars, 4 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: credential or environment access, external package install surface
- Permission surface: secrets or environment access, filesystem or document access
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Promising candidate for agent workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow fit
Use this skill in these scenarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Verify behavior
Testing and QA
I need my agent to test a web app, reproduce bugs, and verify fixes.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
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GPT Researcher
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DeepResearch
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Overview
--- name: iso-24495-code description: Plain language applied to source code (ISO 24495-1:2023 principles). Governs the parts of code a person reads: the order units appear in, their names, comments, and error messages. Applied when writing or restructuring code, not when explaining it. metadata: version: "0.6.0" iso-standard: "ISO 24495-1:2023" iso-status: "published, applied by analogy to source code" ---
# Plain language in code
Extends ISO 24495-1 to source code. Code is read far more often than it is written, so the person reading it is the reader the standard is about.
**Scope**. This skill governs what a reader reads: the order units appear in, what they are called, what the comments say, and what an error tells the person who hits it.
It does not govern correctness, performance, or system design. It does govern local organisation, in rules 1 and 2, because where a unit sits and how far it reaches decide what a reader must hold in their head. For maintainability weaknesses such as complexity and dead code, use a code quality skill built on ISO/IEC 5055.
**This is an interpretation of ISO 24495-1 applied by analogy, not a conformance claim.**
## The four principles, in code
| Principle | In prose | In code | |---|---|---| | Findable | The reader can find what they need | The public entry point appears first | | Understandable | The reader understands it | Names say what the thing is, in the reader's words | | Relevant | The reader gets what they need | A comment says why; interface documentation says what | | Usable | The reader can act on it | An error names the problem and shows a safe value |
## Rules
### 1. Front-load the main path
**Put the public entry point at the top of the file**, before the helpers it calls. A reader opening the file meets the thing it does, then the detail, in that order. This is the code form of leading with the outcome.
Where a language forces declarations before use, put a short delegating entry point first and the implementation below it.
> Measured on 30 generated implementations of one specification. Without this rule the public > function landed anywhere in the file, and in half the files it was the last thing in it. > With the rule it sat in the first fifth of the file every time. > > The measure was chosen after those runs rather than before them, and the effect appeared in > one model family but not in the two others tested. Treat it as a hypothesis with a clean > separation, not a settled result.
### 2. One job per unit
A function does one thing that its name describes. **A name needing "and" is a prompt to look, not an instruction to split.** Some operations are genuinely single and named for a pair, as `compareAndSwap` is, and splitting those breaks them.
Helpers belong at the top level or as members of a class, rather than buried as closures inside the function they serve. A reader cannot reach a closure without reading its container first.
### 3. Name for the reader
- A name says what the thing **is** or **does**, in the vocabulary of someone who knows the domain but not this file. - **Use one name for one concept throughout.** If it is a `token` here it is not a `lexeme` three functions later. Elegant variation confuses code exactly as it confuses prose. - Prefer a longer name that reads to a shorter one that must be decoded. `remainingBudget` beats `rb`.
### 4. A comment says why; interface documentation says what a caller needs
A comment earns its place when it records something a reader cannot recover from the code: a reason, a constraint, a rejected alternative, a bug it guards against.
**Delete a comment that merely restates the line beneath it**, and delete commented-out code.
This is not a rule against documentation. An interface comment tells a caller what a function returns, when it returns nothing, and what it throws. That is the reader's work being done for them, so it belongs there even when the body makes it obvious.
### 5. An error message serves the person who hits it
An error names the problem, shows a value it is safe to show, and where it helps, says what to do instead. Write it in the words its reader would use, so it can be acted on without opening the source.
**Never put a secret in an error.** A credential, token, key, password, session identifier or personal detail must not appear in a message, because messages reach logs, telemetry and screens. Name the field and describe the fault instead: `API token rejected: expected 32 characters, got 8`. Where you cannot show a value safely, show its shape.
**A value on this path has just failed validation, so its contents are unknown.** Naming the field does not make them safe: whatever the caller passed is what reaches the log. Report the format you expected and the shape of what arrived, never the value itself.
``` Bad: throw new Error("invalid input") Good: throw new TypeError( `Duration must be a number followed by ms, s, m, h or d; got ${duration.length} characters`) Good: throw new Error(`API token rejected: expected 32 characters, got ${token.length}`) ```
Quote a value only where you control it, such as one you have already matched against a fixed set. Then the set, not the caller, decides what can appear.
### 6. Prefer the plain construction
Where two constructions are equally correct, use the one a competent reader understands without pausing. Cleverness that needs a comment to explain it has already failed.
## What this skill does not do
- It does not require comments. A file with no comments and clear names is fine. - It does not set a line count for a function. Use `iso-5055-code-quality` for size and complexity thresholds, which are measurable. - It does not apply to generated code, vendored code, or code whose layout a formatter owns.
## Applying it to existing code
Change the reading order and the language. Do not restructure behaviour in the same pass, and never move code and change it at once, because the diff stops being reviewable.
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 21, 2026
- Published
- Aug 21, 2026
Decision snapshot
Fallback candidate
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 79/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for iso-24495-code, ready for a manual X post.
iso-24495-code: Plain language applied to source code (ISO 24495-1:2023 principles). Governs the parts of cod... 89 stars https://www.openagentskill.com/skills/gazmagik-iso-24495-code?ref=x
Optional reply with install command
Listing + install path for iso-24495-code: https://www.openagentskill.com/skills/gazmagik-iso-24495-code?ref=x Install: npx skills add GaZmagik/iso-24495 --skill iso-24495-code
Listing source
Registry indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- GaZmagik
- Source
- GaZmagik/iso-24495
- Indexed by
- OpenAgentSkill community index
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
Claim this skill listing
This Registry indexed listing is attributed to GaZmagik but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/gazmagik-iso-24495-code)
[](https://www.openagentskill.com/skills/gazmagik-iso-24495-code)
[](https://www.openagentskill.com/skills/gazmagik-iso-24495-code/audit)
[](https://www.openagentskill.com/skills/gazmagik-iso-24495-code)Author
GaZmagik
@gazmagik
Tags
Platform fit
Health signals
- GitHub stars
- 89
- Quality score
- 37/100
- Last GitHub push
- Aug 21, 2026
- Framework hints
- Unknown
- OpenAgentSkill views
- 0
- Install copies
- 0
- Outbound clicks
- 0
Community signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & safety
Sandbox only
- GitHub adoption89 GitHub starsCHECK
- Stars/forks activity89 stars, 4 forks; issue activity unavailable in current metadataCHECK
- Recent maintenance1d since pushPASS
- License clarityMITPASS
- README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
- Dependency/runtime riskcredential or environment access, external package install surfaceCHECK
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