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 ItIsMixian/Orrery --skill deepseek-harnessgit clone --depth 1 https://github.com/ItIsMixian/OrreryWrote 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/itismixian/orrery/deepseek-harness)<a href="https://agentmods.dev/skills/itismixian/orrery/deepseek-harness"><img src="https://agentmods.dev/badge/skills/itismixian/orrery/deepseek-harness/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/itismixian/orrery/deepseek-harness"><img src="https://agentmods.dev/badge/skills/itismixian/orrery/deepseek-harness.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 | $0.00000 | $0.00459 |
| Opus 5 | $0.00000 | $0.00230 |
| Sonnet 5 | $0.00000 | $0.00092 |
| Haiku 4.5 | $0.00000 | $0.00046 |
Grade A, and why
deepseek-harness 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 10d 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 — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Orrery DeepSeek Harness Adapter
This is a thin packaged Skill. It requires the separately installed
project-orrery CLI declared in adapter-manifest.json; it does not contain
Orrery templates, schema, compatibility rules, or project facts.
Route the task
- Read the target repository's root
AGENTS.mdand follow its local reading order and safety boundaries before touching project files. - Resolve
scripts/check_cli_dependency.pyagainst this Skill's resource base and run it withpython -X utf8. If it exits nonzero, report its structured dependency error instead of falling back to copied templates or inferred rules. - Before the first product write, run
project-orrery worktree route --target <repo> --adapter-manifest <skill-resource-base>/adapter-manifest.json --platform-session-id <current-session-id> --json. If the runtime does not expose its session ID, stop with the returned continuation brief. When the route requires attach, run the correspondingworktree session attachcommand and rerun the route. Continue only when the route returnsallow; never bypass dirty-primary recovery or silently rebind an existing session. - Use the CLI command that matches the request:
project-orrery scaffold --target <repo> --title <title> --dry-runproject-orrery validate --target <repo>project-orrery check-update --target <repo>
- Keep profile Plugin installation separate from target-project scaffolding, Observatory tool upgrades, and authored-document migration.
- Never claim that an accepted decision is implemented, that an installed scaffold is integrated, or that Agent self-report proves files were read.
For established repositories, inspect existing documentation roles and review
the dry-run before any mutation. Never silently overwrite authored documents.
Only use --upgrade-tools when the user explicitly requests managed Observatory
updates and has reviewed the planned backups.
After implementation or validation work, update the authority layers required
by the target repository's own AGENTS.md. Do not create a parallel state
summary in DeepSeek-specific files.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 39 lines · 0 tokens per session scan A 41f260ea8235
deepseek-harness is a skill published in the GitHub repository ItIsMixian/Orrery (45 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 459 tokens. 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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