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 d1vai/d1v-cli --skill d1vgit clone --depth 1 https://github.com/d1vai/d1v-cliWrote 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/d1vai/d1v-cli/d1v)<a href="https://agentmods.dev/skills/d1vai/d1v-cli/d1v"><img src="https://agentmods.dev/badge/skills/d1vai/d1v-cli/d1v/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/d1vai/d1v-cli/d1v"><img src="https://agentmods.dev/badge/skills/d1vai/d1v-cli/d1v.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 | $0.00057 | $0.01238 |
| Opus 5.5 | $0.00023 | $0.00495 |
| Sonnet 5.5 | $0.00011 | $0.00248 |
| Haiku 4.5 | $0.00006 | $0.00124 |
Grade A, and why
d1v 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 1mo 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
d1v CLI
Use the installed d1v command. For automation and structured inspection, use
--format json; never mix JSON output with an interactive shell.
Safety
- Never print, log, commit, or add API keys, tokens, environment values, or shell tickets to source files, command output, or repository configuration.
- Inspect authentication and project state before changing anything. Check the command exit code and query resulting state; a submitted request is not proof of success.
- Run
pull --dry-runorpush --dry-runbefore changing a local workspace, then inspect repository instructions and local changes. - Treat preview and production as separate environments. A production release requires an interactive TTY and explicit user confirmation; do not attempt or imply a non-interactive production release.
- If a deployment fails or times out, preserve its deployment/release ID and use
deploy statusordeploy historyrather than blindly retrying.
Authenticate and discover
d1v auth status --format json
d1v project list --format json
d1v github status --format json
If authentication is missing, ask the user to run d1v auth login. Do not ask
them to paste a token into chat or a command line. An API key supplied through a
secure standard-input workflow can be used with d1v auth login --api-key.
Bind a local workspace
d1v project get <project_id> --format json
d1v init . --project-id <project_id>
d1v pull --dry-run --format json
d1v pull
d1v push --dry-run --format json
d1v push
d1v init writes local workspace metadata. Do not use --force unless the
user explicitly approves replacing an existing binding.
Run commands in a workspace
Use an interactive shell only when a person needs a terminal:
d1v shell
d1v shell <project_id>
d1v shell --organization-id <organization_id>
- With no target,
d1v shellopens the personal workspace root. - A project ID opens that project's directory. Do not combine it with
--organization-id. - Interactive shells require a TTY and text output. Do not use
--format jsonwithd1v shell.
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.
- 1mo ago First seen · 135 lines · 57 tokens per session scan A 3a8e45ec42f1
d1v is a skill published in the GitHub repository d1vai/d1v-cli (25 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 1,238 once invoked, about $0.0002 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.
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