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 agentmods add instructions/vibeforge1111/spark-cli/agents-mdgit clone --depth 1 https://github.com/vibeforge1111/spark-cliWhat 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 | $0.01880 | $0.01880 |
| Opus 5 | $0.00940 | $0.00940 |
| Sonnet 5 | $0.00376 | $0.00376 |
| Haiku 4.5 | $0.00188 | $0.00188 |
Grade A, and why
spark-cli AGENTS.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.
Copies of this mod
1 near-identical copy found in the catalogue:
- spark-cli CLAUDE.md — 89% identical, 1 lines differ
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spark CLI Agent Ruleset
Repo Role
spark-cli owns Spark's local installer, registry, provenance, secrets, health checks, module lifecycle, sandbox/operator commands, and Spark OS read-model compilation.
Canonical truth owned here:
- starter-module registry, bundle membership, pins, and attestation metadata
- installer scripts, installer manifest, hosted-installer verification contracts, and onboarding checks
- local module lifecycle commands: setup, update, status, start/stop, fix, verify, doctor
- safe secret storage and generated module environment wiring
- Spark OS compiled read models: system map, repo board, authority view, trace index, memory projections, capability catalog, voice surface view, and operating cockpit inputs
This repo does not own:
- Telegram conversation behavior, composition, or channel tokens
- Builder AOC, route confidence, identity, or memory orchestration
- Spawner mission execution and provider result bodies
- domain-chip memory algorithms or durable memory doctrine
- Cockpit UI layout or user-facing dashboards
Start-of-Work Protocol
- Run
git status --short --branch. - Read this file plus
README.mdand the relevant command/installer docs. - Identify whether the change is CLI-owned or belongs in Builder, Telegram, Spawner, memory, Cockpit, Labs, Swarm, voice, or Skill Graphs.
- Define the smallest verifiable behavior and the stop-ship gate.
- Prefer focused tests for the changed command or compiler slice before broader suites.
- Update docs when commands, installer behavior, registry metadata, or compiled artifact shapes change.
- Commit one logical checkpoint with verification notes.
One Truth Rules
- Registry pins and installer manifests must describe owner repo truth; do not paper over dirty runtime state with local-only assumptions.
- Compiled Spark OS artifacts are projections. They must not become runtime authority, durable memory authority, or source state.
- If an artifact joins evidence from multiple repos, preserve source owner, freshness, blocker, and redacted reference fields.
- Do not create a new state root when an owner repo can expose metadata safely.
- Do not treat generated JSON, logs, proof folders, or local workspaces as source truth unless explicitly promoted and documented.
- If
spark os compilereportscanonical_runtime_dirty, stop installer work and clean or quarantine the residue without reading private payloads. Then rerunspark os compile --jsonand requirecritical_duplicate_truth_count=0before any hosted publication claim. - Runtime residue belongs under
<spark-home>/state, not inside module source roots. If residue must be preserved, move it to a dated quarantine path and document the verification command.
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 First seen · 133 lines · 1,880 tokens per session scan A ec89d7dcda94
spark-cli AGENTS.md is an instructions file published in the GitHub repository vibeforge1111/spark-cli (5 stars, last pushed 15d ago), licensed MIT. It adds 1,880 tokens to every session, about $0.0094 per session on Opus 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.
Other instructions, from other repositories
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