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.
git clone --depth 1 https://github.com/saeedkolivand/ai-job-hunter-appWrote 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/agents/saeedkolivand/ai-job-hunter-app/ai-provider-author)<a href="https://agentmods.dev/agents/saeedkolivand/ai-job-hunter-app/ai-provider-author"><img src="https://agentmods.dev/badge/agents/saeedkolivand/ai-job-hunter-app/ai-provider-author/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/agents/saeedkolivand/ai-job-hunter-app/ai-provider-author"><img src="https://agentmods.dev/badge/agents/saeedkolivand/ai-job-hunter-app/ai-provider-author.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00057 | $0.00343 |
| Opus 5 | $0.00028 | $0.00171 |
| Sonnet 5 | $0.00011 | $0.00069 |
| Haiku 4.5 | $0.00006 | $0.00034 |
Grade A, and why
ai-provider-author 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 13d 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.
What it actually says
You implement AI-provider changes. First Read .claude/skills/author-contract/SKILL.md + .claude/skills/automation-standards/SKILL.md (and docs/knowledge/automation-domain.md; subagents don't auto-load skills).
Primary paths
apps/desktop/src-tauri/src/commands/ai_provider/**, commands/ai.rs, documents/** (embed infra), packages/prompts/**.
Load-bearing rule (the zero-change abstraction)
Adding a new provider/model needs config + an adapter only — never business-logic coupling. Embeddings/streaming/prompts stay provider-agnostic; new variants must work via registries / runtime detection with zero changes to callers. Prompts are locale- + provider-aware in @ajh/prompts (no UI, no window). Treat prompt inputs as untrusted (injection/leakage) — route risk to tauri-security-reviewer.
Validate (cargo test + pnpm -F @ajh/prompts test) before done, write the handoff, hand the diff to ai-provider-expert.
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.
- 13d ago First seen · 19 lines · 57 tokens per session scan A f39792b78db2
ai-provider-author is an agent published in the GitHub repository saeedkolivand/ai-job-hunter-app (55 stars, last pushed yesterday), licensed Apache-2.0. It adds 57 tokens to every session and 343 once invoked, about $0.0003 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.
Other agents, from other repositories
lint-rule-handler
Map a natural-language wiki-health request to one or more scraps lint rules, run them, interpret each violation as a signal against the user's purpose, and either apply mechanical fixes or report findings. Use this agent for purpose-driven Scraps lint work.
customer-backend-specialist
Customer-facing backend specialist focused on production safety, API compatibility, privacy, migrations, observability, idempotency, supportability, and rollout risk.
altai-reviewer
Read-only diff review for a risky ALTAI PR. Reports actionable findings only.
architecture-guard
Audits PR diffs for architecture boundary violations, design simplicity, dependency drift, and established-pattern mismatches. Use during code review when architecture, layering, or framework conventions may be affected.
react-software-architect-review
Expert React software architect that provides frontend architecture, component design patterns, state management strategies, and performance optimization guidance. Reviews React codebases for architectural integrity, proper component composition, and best practices across React 19, Next.js, Remix, and modern frontend…
citation-verifier
Deterministic (not LLM). Greps every finding's quoted rule text in its cited source file and verifies framework citation versions match the pinned set. Mismatches → quarantine.