Borrowing it
Nothing to install: this file belongs to deployhq/deployhq-cli. 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/deployhq/deployhq-cli/main/CLAUDE.mdgit clone --depth 1 https://github.com/deployhq/deployhq-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/instructions/deployhq/deployhq-cli/claude-md)<a href="https://agentmods.dev/instructions/deployhq/deployhq-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/deployhq/deployhq-cli/claude-md/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/instructions/deployhq/deployhq-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/deployhq/deployhq-cli/claude-md.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 | $0.02036 | $0.02036 |
| Opus 5.5 | $0.00814 | $0.00814 |
| Sonnet 5.5 | $0.00407 | $0.00407 |
| Haiku 4.5 | $0.00204 | $0.00204 |
Grade A, and why
deployhq-cli CLAUDE.md 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 2d 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 — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
What is this?
deployhq-cli is the official DeployHQ command-line interface — a Go binary that wraps the DeployHQ REST API. Designed for both humans and AI agents.
Development
go build ./cmd/dhq/ # binary outputs as dhq # Build binary
go test ./... -v # Run all tests (96 tests)
go vet ./... # Static analysis
Architecture
pkg/sdk/ Public Go SDK (97 methods, zero internal/ imports)
Clean boundary — extractable to standalone module later.
internal/output/ Wrangler-pattern output engine
stderr=human messages, stdout=data (table or JSON)
--json <fields> for field selection
DEPLOYHQ_OUTPUT_FILE for JSONL capture
internal/config/ 4-layer Viper config
flags > env vars > .deployhq.toml > ~/.deployhq/config.toml
internal/auth/ Keyring + file fallback credential storage
internal/harness/ Agent detection (DEPLOYHQ_AGENT, CLAUDE_CODE, CI)
internal/cli/ Command execution pipeline, lazy SDK client
internal/commands/ All CLI commands (42 top-level, 155+ total)
internal/version/ Update checker (GitHub releases API)
internal/skillinstaller/ Detects installed AI agents (12 supported) and
installs the DeployHQ skill into each one's native format.
user-scope targets write to $HOME; project-scope targets
write into the repo (opt-in via --agent). Powers
`dhq skills` and the `dhq hello` onboarding step.
skills/deployhq/ Agent skill guide + per-domain reference docs (9 files)
SKILL.md is the entry point for any AI agent.
skill-evals/deployhq/ Eval suite (69 cases) testing LLM → CLI translation
run-evals.sh drives Claude API, checks command accuracy.
Key Design Decisions
- Output contract: stdout is ALWAYS data (table or JSON), stderr is ALWAYS human text. Never mixed.
--json <fields>: Field selection on any command. Piped output auto-switches to JSON.FlexStringtype: The DeployHQ API inconsistently returns some fields as strings or numbers.FlexStringhandles both.dhq api: Escape hatch covering all 144+ endpoints not in the command tree.- Breadcrumbs: JSON responses include suggested next commands with
resourcetype andid. --non-interactive: Strict mode that never prompts. Auto-enabled for detected agents and piped output. Ambiguous inputs fail with structured errors listing available options.- Agent metadata:
dhq commands --jsonincludes per-commandagentobject withinteractive,destructive,idempotent,safe_for_automation,resource_types. Defined ininternal/commands/agent_metadata.go. - Structured errors: Error responses include
exit_code,retryable, andrecoveryactions. - No login in CI:
DEPLOYHQ_ACCOUNT+DEPLOYHQ_EMAIL+DEPLOYHQ_API_KEYenv vars. - Pagination:
--pageand--per-pageon paginated list commands (deployments, servers, server-groups). JSON output includespaginationmetadata when available. Non-paginated endpoints don't have these flags. - Dry-run:
dhq deploy --dry-runcreates a preview deployment without executing. Returnspreview_pendingstatus. Mutually exclusive with--wait. - API spec:
https://api.deployhq.com/docs(OpenAPI 3.1.0, machine-readable JSON at/docs.json)
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.
- 2d ago Changed · +25 lines · +266 tokens per session e1ea907d8528
- 2mo ago First seen · 141 lines · 1,770 tokens per session scan A e0c14f204604
deployhq-cli CLAUDE.md is an instructions file published in the GitHub repository deployhq/deployhq-cli (1 stars, last pushed 2d ago), licensed MIT. It adds 2,036 tokens to every session, about $0.0081 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.
deployhq-cli CLAUDE.md compared with instructions from other repositories
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|---|---|---|---|---|---|---|---|
| deployhq-cli CLAUDE.mddeployhq/deployhq-cli | Instructions file | 1 | 2d ago | MIT | A | 2,036 | Claude Code |
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