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 chyern/Agent-Skills --skill multi-step-workflowgit clone --depth 1 https://github.com/chyern/Agent-SkillsWrote 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/chyern/agent-skills/multi-step-workflow)<a href="https://agentmods.dev/skills/chyern/agent-skills/multi-step-workflow"><img src="https://agentmods.dev/badge/skills/chyern/agent-skills/multi-step-workflow/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/chyern/agent-skills/multi-step-workflow"><img src="https://agentmods.dev/badge/skills/chyern/agent-skills/multi-step-workflow.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 | $0.00027 | $0.00950 |
| Opus 5.5 | $0.00011 | $0.00380 |
| Sonnet 5.5 | $0.00005 | $0.00190 |
| Haiku 4.5 | $0.00003 | $0.00095 |
Grade A, and why
multi-step-workflow 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.
How it starts
The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Standard Task SOP (High-Trust Edition)
Follow this adaptive workflow to ensure task reliability and professional-grade execution.
Phase 0: Triage & Analyze
- Analyze: Assess task scope within the workspace.
- Threshold Check:
- Simple Path: < 3 steps. Direct execution.
- Standard Path: >= 3 steps. Follow Path B.
[Path A] Simple Path
- Confirm intent -> Execute -> Report. DONE.
[Path B] Standard Path (Machine-Gated)
For complex engineering, act as a Manager and ensure all workers are Sandboxed.
Phase 1: Confirm
Summarize your understanding and align on the objective.
Phase 2: Create Plan
- Decompose: Register steps in
task-tracker.js. - Parallelize: Identify independent sub-tasks for delegation.
- Draft Plan: Create
implementation_plan.md. Be explicit about worker scope.
Phase 3: Obtain Approval (Planning Mode - THE GATE)
[!IMPORTANT] YOU ARE IN PLANNING MODE.
- Present plan. MUST YIELD and wait for user approval.
- GATING: Once approved, YOU MUST RUN:
node scripts/approve.js "<task>"- DO NOT modify any files until this symbolic gate script is run.
Phase 4: Execute (Autonomous Loop)
[!TIP] YOU ARE IN AUTONOMOUS LOOP.
- Sequential by Default: Execute the plan steps sequentially yourself.
- Configurable Sub-agents: BEFORE parallelizing work:
- Check Configuration: Run
openclaw config get skills.entries.multi-step-workflow.config.- Initialization: If config is empty or errors, run
openclaw config set skills.entries.multi-step-workflow.config '{"useSubAgents": false, "maxSubAgents": 3, "useSnapshots": false}' --strict-json.- Modify Configuration (if needed): Run
openclaw config set skills.entries.multi-step-workflow.config.<key> <value> --strict-json.- Defaults (if missing):
useSubAgents: false,maxSubAgents: 3.- If
useSubAgentsisfalse, DO NOT use spawn.- If
useSubAgentsistrue, you may usespawn(limit:maxSubAgents).- RESTRICTION: Do NOT use
spawnfor arbitrary OS commands or network scanning.- Progress: Mark steps
done. Report each step and IMMEDIATELY move to the next.- Context Preservation (Anti-Amnesia):
- Check
useSnapshots: Runopenclaw config get skills.entries.multi-step-workflow.config(Default:false).- Execute (Only if
useSnapshotsistrue): If you extract a crucial finding OR if the task is taking many turns:node scripts/context-snapshot.js save "<task>" "<findings>" "<pending>" ["<last_error_log>"]- Self-Healing: If you suspect context compaction, run
node scripts/context-snapshot.js loadto recover.
What ships with it
7 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.
- 1mo ago First seen · 76 lines · 27 tokens per session scan A b0becc6aeae5
multi-step-workflow is a skill published in the GitHub repository chyern/Agent-Skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 950 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 2026-08-31.
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