Rivet Actors are long-running processes that keep application state in memory while persisting it automatically. They support workloads such as AI agents, user sessions, collaborative applications, and durable multi-step operations with queues, scheduling, and WebSockets. Catalogue add-ons help operate and develop Rivet Actors.
Borrowing it
Nothing to install: this file belongs to rivet-dev/actors. 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/rivet-dev/actors/main/.opencode/skills/openspec-ff-change/SKILL.mdgit clone --depth 1 https://github.com/rivet-dev/actorsWrote 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/rivet-dev/actors/openspec-ff-change)<a href="https://agentmods.dev/skills/rivet-dev/actors/openspec-ff-change"><img src="https://agentmods.dev/badge/skills/rivet-dev/actors/openspec-ff-change/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/rivet-dev/actors/openspec-ff-change"><img src="https://agentmods.dev/badge/skills/rivet-dev/actors/openspec-ff-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Memory Poisoning · line 69 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00034 | $0.00977 |
| Opus 5.5 | $0.00014 | $0.00391 |
| Sonnet 5.5 | $0.00007 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
openspec-ff-change 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- openspec-ff-change — 100% identical, 2 lines differ
- openspec-ff-change — 100% identical, 2 lines differ
- openspec-ff-change — 100% identical, 2 lines differ
- openspec-ff-change — 100% identical, 49 lines differ
- openspec-ff-change — 100% identical, 55 lines differ
- openspec-ff-change — 100% identical, 4 lines differ
- openspec-ff-change — 100% identical, 4 lines differ
- openspec-ff-change — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fast-forward through artifact creation - generate everything needed to start implementation in one go.
Input: The user's request should include a change name (kebab-case) OR a description of what they want to build.
Steps
-
If no clear input provided, ask what they want to build
Use the AskUserQuestion tool (open-ended, no preset options) to ask:
"What change do you want to work on? Describe what you want to build or fix."
From their description, derive a kebab-case name (e.g., "add user authentication" →
add-user-auth).IMPORTANT: Do NOT proceed without understanding what the user wants to build.
-
Create the change directory
openspec new change "<name>"This creates a scaffolded change at
openspec/changes/<name>/. -
Get the artifact build order
openspec status --change "<name>" --jsonParse the JSON to get:
applyRequires: array of artifact IDs needed before implementation (e.g.,["tasks"])artifacts: list of all artifacts with their status and dependencies
-
Create artifacts in sequence until apply-ready
Use the TodoWrite tool to track progress through the artifacts.
Loop through artifacts in dependency order (artifacts with no pending dependencies first):
a. For each artifact that is
ready(dependencies satisfied):- Get instructions:
openspec instructions <artifact-id> --change "<name>" --json - The instructions JSON includes:
context: Project background (constraints for you - do NOT include in output)rules: Artifact-specific rules (constraints for you - do NOT include in output)template: The structure to use for your output fileinstruction: Schema-specific guidance for this artifact typeoutputPath: Where to write the artifactdependencies: Completed artifacts to read for context
- Read any completed dependency files for context
- Create the artifact file using
templateas the structure - Apply
contextandrulesas constraints - but do NOT copy them into the file - Show brief progress: "✓ Created "
b. Continue until all
applyRequiresartifacts are complete- After creating each artifact, re-run
openspec status --change "<name>" --json - Check if every artifact ID in
applyRequireshasstatus: "done"in the artifacts array - Stop when all
applyRequiresartifacts are done
c. If an artifact requires user input (unclear context):
- Use AskUserQuestion tool to clarify
- Then continue with creation
- Get instructions:
-
Show final status
openspec status --change "<name>"
Output
After completing all artifacts, summarize:
- Change name and location
- List of artifacts created with brief descriptions
- What's ready: "All artifacts created! Ready for implementation."
- Prompt: "Run
/opsx-applyor ask me to implement to start working on the tasks."
Artifact Creation Guidelines
- Follow the
instructionfield fromopenspec instructionsfor each artifact type - The schema defines what each artifact should contain - follow it
- Read dependency artifacts for context before creating new ones
- Use
templateas the structure for your output file - fill in its sections - IMPORTANT:
contextandrulesare constraints for YOU, not content for the file- Do NOT copy
<context>,<rules>,<project_context>blocks into the artifact - These guide what you write, but should never appear in the output
- Do NOT copy
Guardrails
- Create ALL artifacts needed for implementation (as defined by schema's
apply.requires) - Always read dependency artifacts before creating a new one
- If context is critically unclear, ask the user - but prefer making reasonable decisions to keep momentum
- If a change with that name already exists, suggest continuing that change instead
- Verify each artifact file exists after writing before proceeding to next
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 · 102 lines · 34 tokens per session scan A fa89e45f8453
openspec-ff-change is a skill published in the GitHub repository rivet-dev/actors (6,309 stars, last pushed yesterday), licensed Apache-2.0. It adds 34 tokens to every session and 977 once invoked, about $0.0001 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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