Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add Viindoo/odoo-mcp-client/plugin install odoo-ai-agentsWrote 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/viindoo/odoo-mcp-client/workflow-chaining)<a href="https://agentmods.dev/skills/viindoo/odoo-mcp-client/workflow-chaining"><img src="https://agentmods.dev/badge/skills/viindoo/odoo-mcp-client/workflow-chaining.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 | $0.00130 | $0.02996 |
| Opus 5 | $0.00065 | $0.01498 |
| Sonnet 5 | $0.00026 | $0.00599 |
| Haiku 4.5 | $0.00013 | $0.00300 |
Grade C, and why
workflow-chaining scanned grade C with 1 finding 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 3d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
ISOLATE output_dir>/ -mindepth 1 -maxdepth 1 -type d -mmin +43200 -exec rm -rf {} +` (any How it starts
The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
workflow-chaining - Generic Declarative Workflow Runner
Role
Neutral orchestration engine: reads the YAML, announces each phase, gates on user approval,
dispatches specialists via the Skill tool (NL description-match as fallback), writes checkpoints. No domain knowledge - that lives in the
.workflow.yaml and the specialist skills. Invoked by odoo-intake after
a user approves a multi-step workflow plan at the soft-plan-gate.
Hard rules
- Prefer the Skill tool for phase dispatch. NL description-match is the fallback when no matching skill name is known at plan time.
- NEVER spawn a sub-agent directly (no direct agent launch, no
context: fork- fan-out is the only exception, ≤3 concurrent workers with the mandatory worker-brief preamble). - No recursion. Fork workers are leaf agents and carry: "Do NOT invoke spawner skills via the Skill tool. Do NOT spawn sub-agents. You MAY use the Skill tool for read-only leaf skills (e.g. odoo-feature-check, odoo-override-finding). Only Read/Grep/Glob/Write/Bash."
- No execution before gate. Emit a gate before each phase; wait for approval.
- Resume from checkpoint. If
resume: trueand<output_dir>/<slug>-state.jsonexists (output_diris the full.odoo-ai/...path from the YAML - see Phase 0 step 2 for how it resolves to a real location), load it and skip done phases. - SSOT for schema →
workflows/_schema.md. This body describes behavior, not schema. - on_complete EMITs, never dispatches. Matched transitions go to Continuation Contract
next[]for the run-harness - this skill never fires a spawner itself.
Phase 0 - Load and validate
- Read the referenced
workflows/<name>.workflow.yamlfile. - Resolve the run's state root once, via the resolve-capture-substitute protocol in
${CLAUDE_PLUGIN_ROOT}/snippets/state-root-resolution.md:output_dir:from the YAML is a relative.odoo-ai/<name>literal that this skill resolves against the Tier-2 ISOLATE dir (scripts/lib/resolve_project_dir.sh isolate) at RUNTIME - the YAML literal itself and the generator'soutput_dirmust-start-with-.odoo-ai/assertion are intentionally UNCHANGED; only the runtime resolution moved off a bare project-relative path. Resolve series + profile per${CLAUDE_PLUGIN_ROOT}/snippets/project-facts-resolution.md. - Orphan sweep (do this every invocation, before the resume check below). Run
find <resolved ISOLATE output_dir>/ -mindepth 1 -maxdepth 1 -type d -mmin +43200 -exec rm -rf {} +(any sibling<slug>-*/or<slug>-state.jsonuntouched for over 30 days is presumed consumed; a still-active run keeps writing its own state file/phase artifacts, so its mtime never ages past the threshold). It sweeps whateveroutput_dirTHIS workflow declares, so no per-workflow sweep instruction exists. Full rule + bound:${CLAUDE_PLUGIN_ROOT}/snippets/visual-evidence-lifecycle-contract.mdClause 3. Enforcer: whoever invokes this runner next, unconditionally, every run - not a separate cleanup agent or cron. - If
resume: true, check for<output_dir>/<slug>-state.jsonunder the resolved ISOLATE dir (the captured absolute path substitutes for theoutput_dirprefix from the YAML); if found, load it and determine the last completed phase. - Collect any missing
inputs[]from the user (one question per missing input). - Emit the soft-plan-gate header before any phase runs:
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.
- 3d ago First seen · 235 lines · 130 tokens per session scan C c8853ef89015
workflow-chaining is a skill published in the GitHub repository Viindoo/odoo-mcp-client (7 stars, last pushed 4d ago), licensed MIT. It adds 130 tokens to every session and 2,996 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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