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 skills add Team-Deepiri/deepiri-axiom --skill deepiri-language-intelligencegit clone --depth 1 https://github.com/Team-Deepiri/deepiri-axiomWrote 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/team-deepiri/deepiri-axiom/deepiri-language-intelligence)<a href="https://agentmods.dev/skills/team-deepiri/deepiri-axiom/deepiri-language-intelligence"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/deepiri-language-intelligence/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/team-deepiri/deepiri-axiom/deepiri-language-intelligence"><img src="https://agentmods.dev/badge/skills/team-deepiri/deepiri-axiom/deepiri-language-intelligence.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 | $0.00014 | $0.00052 |
| Opus 5.5 | $0.00006 | $0.00021 |
| Sonnet 5.5 | $0.00003 | $0.00010 |
| Haiku 4.5 | $0.00001 | $0.00005 |
Grade A, and why
deepiri-language-intelligence 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 2mo 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
Deepiri Language Intelligence
Repo: deepiri-language-intelligence-service.
Fronts LI workloads for the platform. Check API contracts with gateway and core-api.
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.
- 2mo ago First seen · 11 lines · 14 tokens per session scan A cb50464f6195
deepiri-language-intelligence is a skill published in the GitHub repository Team-Deepiri/deepiri-axiom (2 stars, last pushed yesterday), licensed Apache-2.0. It adds 14 tokens to every session and 52 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 2026-08-31.
deepiri-language-intelligence compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| deepiri-language-intelligenceTeam-Deepiri/deepiri-axiom | Skill | 2 | yesterday | Apache-2.0 | A | 14 | Claude Code, Codex |
| erlang-otp-behaviorsbenchflow-ai/skillsbench | Skill | 1.9k | 3d ago | Apache-2.0 | A | 52 | Claude Code, Codex |
| omh-rustrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 74 | Claude Code, Codex |
| axiom-concurrencyCharlesWiltgen/Axiom | Skill | 1.3k | yesterday | MIT | A | 49 | Claude Code |
| tddcodewithmukesh/dotnet-claude-kit | Skill | 805 | 2d ago | MIT | A | 81 | Claude Code |
| splitting-oversized-modulesPostHog/posthog | Skill | 41k | yesterday | none | A | 197 | Claude Code, Codex |
| precisemicroprediction/precise | Skill | 338 | 5d ago | MIT | A | 76 | Claude Code, Codex |