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/PicsArt/gen-ai-skillsnpx agentmods add skills/picsart/gen-ai-skills/agency-client-handoffWrote 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/picsart/gen-ai-skills/agency-client-handoff)<a href="https://agentmods.dev/skills/picsart/gen-ai-skills/agency-client-handoff"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-client-handoff/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/picsart/gen-ai-skills/agency-client-handoff"><img src="https://agentmods.dev/badge/skills/picsart/gen-ai-skills/agency-client-handoff.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 | $0.00016 | $0.02327 |
| Opus 5 | $0.00008 | $0.01163 |
| Sonnet 5 | $0.00003 | $0.00465 |
| Haiku 4.5 | $0.00002 | $0.00233 |
Grade C, and why
agency-client-handoff scanned grade C with 2 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 12d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
1. Install CLI: curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Install CLI: curl -fsSL https://picsart.com/gen-ai-cli/install.sh | bash How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agency client handoff
Package a completed engagement for transfer to the client's in-house team, DAM, or next agency — with the asset set, prompt library, model pins, rights documentation, and everything else the receiving team needs to regenerate consistent work without you in the loop.
Engagement done → reproducible handoff bundle. Knowledge transfer over lock-in: the receiving team should be able to keep the brand on-model without calling the agency back.
When to Use
- End of an engagement, client taking work in-house
- Transition to a new agency of record — outgoing handoff
- Completed pitch / campaign — asset package with provenance for the client's DAM
- Contract-mandated "source file" delivery with regeneration rights
- Year-end portfolio snapshot for a long-term retainer client
Do not use for work-in-progress reviews (use Drive links), approvals (use proof PDFs), or internal archival (use your agency's backup). Handoff is the formal, client-owned, reproducible bundle.
Prerequisites
Ask the user (one message):
- Client slug + engagement scope — which client, which project or retainer period is being handed off
- Receiving team — in-house creative? Another agency? Which format and tools do they use (Figma, Adobe, CapCut, Notion)?
- Rights status — are all inputs licensed? Any stock, fonts, or reference faces that need redacting or citing?
- Regeneration expectation — does the client need to re-generate assets on their own, or is this a static archive?
- Confidentiality — any internal prompts, competitor references, or tagged metadata that must be stripped before delivery?
- Delivery format — zip + Drive link? Direct to client S3 / DAM? Physical drive?
If the client needs regeneration capability, they'll need the gen-ai CLI themselves — add an install guide to the bundle.
How to Run
1. INVENTORY → pull every asset + results.json from clients/<slug>/ across the engagement
2. FILTER → exclude drafts, rejected variants, internal-only WIP
3. STRIP → white-label: remove agency tags, internal prompt notes, competitor refs
4. PIN MODELS → lock every prompt's model to an exact ID + version (not "latest")
5. DOCUMENT → generate README, RIGHTS.md, CHANGELOG, prompt library
6. PACKAGE → zip with consistent folder structure + naming
7. VERIFY → extract and cold-test: can a fresh machine regenerate one asset?
8. DELIVER → upload to client destination, share link, brief the receiving team
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.
- 12d ago First seen · 192 lines · 16 tokens per session scan C 28e4334e2dd9
agency-client-handoff is a skill published in the GitHub repository PicsArt/gen-ai-skills (4 stars, last pushed 15d ago), licensed MIT. It adds 16 tokens to every session and 2,327 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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