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/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/viindoo/odoo-mcp-client/workflow-chaining"><img src="https://agentmods.dev/badge/skills/viindoo/odoo-mcp-client/workflow-chaining.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 | $0.00013 | $0.02913 |
| Opus 5.5 | $0.00005 | $0.01165 |
| Sonnet 5.5 | $0.00003 | $0.00583 |
| Haiku 4.5 | $0.00001 | $0.00291 |
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 9d 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 {} +` (it removes How it starts
The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
workflow-chaining - Generic Declarative Workflow Runner
Role
Read the YAML, decide the workflow plan once, announce each phase, dispatch specialists via the Skill
tool (NL description-match as fallback), write checkpoints. Invoked by odoo-intake, a workflow
command, or a plan's workflow node.
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 agent launch, no
context: fork) except fan-out (≤3 workers, mandatory worker-brief preamble) and anagent:phase: launch that agent at the phase'smodel_tier; a later phase resumes it by the returned id. - 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."
- One plan decision, then no stops. No phase runs before the workflow plan is decided
(Phase 0 step 6). Phases then run without stopping; a phase
gateis a text confirmation before that phase's outward or irreversible action, and the only one. - Resume from checkpoint. If
resume: trueand<output_dir>/<slug>-state.jsonexists (output_dirresolves per Phase 0 step 2), load it and skip done phases. - Schema →
workflows/_schema.md. - on_complete EMITs, never dispatches. Matched transitions go to Continuation Contract
next[]for the plan runner (the main agent) - 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
${CLAUDE_PLUGIN_ROOT}/snippets/state-root-resolution.md:output_dir:from the YAML is a relative.odoo-ai/<name>literal that this skill resolves against the Tier-2 ISOLATE dir (callmcp__plugin_odoo-ai-agents_odoo-local__project_dirwith axisisolate,cwd= the run's target root) at RUNTIME - never write to the bare project-relative.odoo-ai/<name>path. Resolve series + profile per${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 {} +(it removes whateveroutput_dirTHIS workflow declares that was untouched for over 30 days). Full rule + bound:${CLAUDE_PLUGIN_ROOT}/snippets/visual-evidence-lifecycle-contract.md§ Clause 3. Run it unconditionally, every run. - If
resume: true, check for<output_dir>/<slug>-state.jsonunder the resolved ISOLATE dir; if found, load it and determine the last completed phase. - Collect any missing
inputs[]from the user (one question per missing input). - Decide the workflow plan (
${CLAUDE_PLUGIN_ROOT}/snippets/planning-gate-contract.md§ One Plan-Mode gate per request):- A phase with
plan: truecomputes the plan: run the phases up to and including it first (they write only under the state root), and present its output as the plan. - The workflow owns the request (invoked by
odoo-intake, a command, or the user): callEnterPlanMode, present the block below,ExitPlanModeonapprove;refine: [feedback]re-plans,cancelstops. - Every
on_completeentry of the workflow hands the request toodoo-solution-designorodoo-planning(the workflow only scopes): that skill holds the request's Plan-Mode gate. State the chain in one line and run. - A node of an approved plan: present nothing and run.
- A phase with
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.
- 9d ago Changed · +1 lines 0b6c4eb42bc1
- 20d ago Changed · +2 lines 9839a7d74cd9
- 24d ago Changed 39dd421b2883
- 1mo ago Changed 183f4531098e
- 1mo ago Changed · -6 lines · -117 tokens per session 9fa95915c7f9
- 1mo ago Changed · -1 lines d555f5657f37
- 1mo ago Changed fc03994d690a
- 2mo 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 (9 stars, last pushed 2d ago), licensed MIT. It adds 13 tokens to every session and 2,913 once invoked, about $0.0001 per session on Opus 5.5. 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.
workflow-chaining compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| workflow-chainingViindoo/odoo-mcp-client | Skill | 9 | 2d ago | MIT | C | 13 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 3d ago | MIT | A | 200 | Claude Code, Codex |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |