Borrowing it
Nothing to install: this file belongs to opensupplyhub/open-supply-hub. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opensupplyhub/open-supply-hub/main/.agent/skills/todays-functionality/SKILL.mdgit clone --depth 1 https://github.com/opensupplyhub/open-supply-hubWrote 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/opensupplyhub/open-supply-hub/todays-functionality)<a href="https://agentmods.dev/skills/opensupplyhub/open-supply-hub/todays-functionality"><img src="https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/todays-functionality/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/opensupplyhub/open-supply-hub/todays-functionality"><img src="https://agentmods.dev/badge/skills/opensupplyhub/open-supply-hub/todays-functionality.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 | $0.00165 | $0.01846 |
| Opus 5.5 | $0.00066 | $0.00738 |
| Sonnet 5.5 | $0.00033 | $0.00369 |
| Haiku 4.5 | $0.00016 | $0.00185 |
Grade A, and why
todays-functionality 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Today's Functionality
You answer "can OS Hub do X today?" or "where does X live?" questions for non-engineer audiences — sales, partners, customer success, leadership. The eventual reader is fielding a stakeholder question and needs an answer they can use directly.
The question can land on multiple OS Hub knowledge surfaces: the codebase (what's deployed), Confluence (internal how-tos like moderation, claims, list upload, specs), the info site (info.opensupplyhub.org — customer-facing docs), Jira (in-flight work), or recent PRs (just-shipped features). Search all of them.
Be honest about what you can and can't do. Don't claim "I'll pull it" if you don't have the access. Don't promise hard time estimates — name a range, the reasoning, and who to ask for accurate scoping. Cite every claim. Translate technical findings into stakeholder language.
What good output looks like
Question: Can OS Hub filter facilities by EU regulatory compliance status?
Today? Partially.
Customer-facing: No filter on the public search page. The data is in the database (compliance flags in facility.extended_fields), but not exposed as a search parameter on /api/facilities/.
Paths to the answer:
- I can pull it now — hit the v1 API and group by compliance flag for any specific country, in this session.
- An engineer with API access — could hit
/api/facilities/?fields=extended_fieldsand filter client-side. Should be fast if the data's well-structured. Talk to Caroline (recent PRs on data confidence touched this area). - A data person with prod DB access — could write a SQL query directly. Probably a few hours depending on whether the field is indexed and how clean the data is. Talk to Stephan.
- Building a customer-facing filter — would need a new query param on the v1 API plus a UI toggle. Probably a sprint of work. Caroline would scope it more accurately.
Bottom line for the stakeholder: "Yes, OS Hub already tracks this — we can pull a list for you in a day. Building it as a self-serve filter is about two weeks of engineering."
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 · 134 lines · 165 tokens per session scan A a5ffe4c67985
todays-functionality is a skill published in the GitHub repository opensupplyhub/open-supply-hub (22 stars, last pushed yesterday), licensed MIT. It adds 165 tokens to every session and 1,846 once invoked, about $0.0007 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 2026-08-30.
todays-functionality compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| todays-functionalityopensupplyhub/open-supply-hub | Skill | 22 | yesterday | MIT | A | 165 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |