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 Razaib-khan/ForgeWeave --skill workflow-orchestratorgit clone --depth 1 https://github.com/Razaib-khan/ForgeWeaveWrote 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/razaib-khan/forgeweave/workflow-orchestrator)<a href="https://agentmods.dev/skills/razaib-khan/forgeweave/workflow-orchestrator"><img src="https://agentmods.dev/badge/skills/razaib-khan/forgeweave/workflow-orchestrator.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00731 |
| Opus 5 | $0.00012 | $0.00365 |
| Sonnet 5 | $0.00005 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
Workflow Orchestrator 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 7d 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Workflow Orchestrator
Purpose
Coordinate the execution of multiple skills in sequence or parallel to achieve a complex goal. Handles dependency resolution, data passing between skills, error recovery, and progress reporting. The top-level orchestrator that makes multi-step agentic workflows reliable.
When to Use
- A complex goal requires 3+ skills in sequence (e.g., research → plan → build → test)
- Multiple independent subtasks can run in parallel
- A pipeline needs retry logic or error recovery
- The user wants a multi-step workflow executed end-to-end
When Not to Use
- Only one skill is needed — invoke it directly
- The steps are manual and need user approval at each stage
- The workflow is a simple linear script — use a script instead
Inputs
| Input | Type | Required | Description |
|---|---|---|---|
goal |
string | Yes | The overall objective |
pipeline_definition |
array | No | Explicit skill order if known (auto-generated if omitted) |
fallback_strategy |
enum | No (default: stop) | stop, retry, skip |
Expected Outputs
| Output | Description |
|---|---|
| Pipeline result | The output of the final skill |
| Execution trace | What ran, in what order, what each produced |
| Status report | Success, failures, and retries |
Exact Workflow Steps
- Accept the goal from the user or from a command
- Decompose the goal into ordered skills using
plannerskill - Identify dependencies between skills (blocking, parallel, sequential)
- Execute skills in dependency order:
- Parallel skills run concurrently
- Sequential skills run in order, passing outputs
- After each skill, validate output using
validation-engine - On failure: retry, skip, or stop based on fallback strategy
- Report results to user with execution trace
Required Checks
- All skills in the pipeline are available
- Dependency order is correct (no cycles)
- Each skill's output is valid before passing to next
- Fallback strategy is defined for every pipeline step
What ships with it
2 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.
- 7d ago First seen · 97 lines · 23 tokens per session scan A 823fe002edcf
Workflow Orchestrator is a skill published in the GitHub repository Razaib-khan/ForgeWeave (1 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 731 once invoked, about $0.0001 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.
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