Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/jmagly/aiwgnpx agentmods add skills/jmagly/aiwg/mention-conventionsWrote 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/jmagly/aiwg/mention-conventions)<a href="https://agentmods.dev/skills/jmagly/aiwg/mention-conventions"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/mention-conventions/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/jmagly/aiwg/mention-conventions"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/mention-conventions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00013 | $0.01359 |
| Opus 5.5 | $0.00005 | $0.00544 |
| Sonnet 5.5 | $0.00003 | $0.00272 |
| Haiku 4.5 | $0.00001 | $0.00136 |
Grade A, and why
mention-conventions 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 7d 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill access pattern (post-kernel-pivot, 2026.5+)
Skill names referenced in this document are AIWG skills, not slash commands. Most are not kernel-listed and cannot be invoked as
/skill-nameby the platform. Reach them via:aiwg discover "<capability>" aiwg show skill <name> --bodyOnly kernel-listed skills (
aiwg-doctor,aiwg-refresh,aiwg-status,aiwg-help,use,steward) are directly invokable as slash commands. See skill-discovery rule.
@-Mention Conventions
Display AIWG @-mention naming conventions and placement rules.
Usage
/mention-conventions # Show all conventions
/mention-conventions --section naming # Show naming patterns only
/mention-conventions --section placement # Show placement rules only
Naming Patterns
Requirements
@.aiwg/requirements/UC-{NNN}-{slug}.md # Use cases (UC-001-user-auth.md)
@.aiwg/requirements/NFR-{CAT}-{NNN}.md # Non-functional (NFR-SEC-001.md)
@.aiwg/requirements/user-stories.md # User story collection
Categories for NFRs:
SEC- SecurityPERF- PerformanceSCAL- ScalabilityAVAIL- AvailabilityMAINT- MaintainabilityUSAB- Usability
Architecture
@.aiwg/architecture/adrs/ADR-{NNN}-{slug}.md # Decision records (ADR-005-jwt-strategy.md)
@.aiwg/architecture/components/{name}.md # Component specs
@.aiwg/architecture/software-architecture-doc.md # Main SAD
@.aiwg/architecture/api-contract.md # API specifications
Security
@.aiwg/security/threat-model.md # Main threat model
@.aiwg/security/TM-{NNN}.md # Individual threats (TM-001.md)
@.aiwg/security/controls/{control-id}.md # Security controls (authn-001.md)
Testing
@.aiwg/testing/test-plan.md # Master test plan
@.aiwg/testing/test-cases/TC-{NNN}.md # Individual test cases
@.aiwg/testing/test-results/{run-id}.md # Test run results
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.
- 7d ago Changed 1db29e2834d4
- 1mo ago First seen · 188 lines · 13 tokens per session scan A ca89b466c3c8
mention-conventions is a skill published in the GitHub repository jmagly/aiwg (226 stars, last pushed today), licensed MIT. It adds 13 tokens to every session and 1,359 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
launch
Planning releases and reporting delivery work from GitHub PR history. Use when versioning, CHANGELOGs, rollout or rollback plans, engineering metrics, retrospectives, or stakeholder reports are needed.
sherpa
Guiding workflows by decomposing complex tasks (Epics) into Atomic Steps under 15 minutes each, with progress tracking and drift prevention. Use when complex decomposition is needed.
pdm
Navigating delivery status read-only: reconciles planned scope (specs/roadmap/PRD) against implemented code for what's built vs left. Not for priority scoring (Rank) or AC conformance (Attest).
rank
Quantifying priority by scoring competing items with ICE/RICE/WSJF/MoSCoW/Cost of Delay/Kano. No code. Use to prioritize features/bugs/initiatives or arbitrate Must vs Should at MVP scoping.
spark
Proposing new features leveraging existing data/logic as Markdown specifications. Use when brainstorming new features, product planning, or feature proposals are needed. Does not write code.
missive
Invoke only when spawning a quest from a GitHub issue reference. Fetches GitHub issue context for quest spawning. Parses issue references, retrieves structured data via gh, and produces branch suggestions and PR keywords. Used standalone or as input to quest orchestration.