Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cynco-labs/ai-accounting-skillsnpx agentmods add skills/cynco-labs/ai-accounting-skills/full-engagement-pipelineWrote 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/cynco-labs/ai-accounting-skills/full-engagement-pipeline)<a href="https://agentmods.dev/skills/cynco-labs/ai-accounting-skills/full-engagement-pipeline"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/full-engagement-pipeline/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/cynco-labs/ai-accounting-skills/full-engagement-pipeline"><img src="https://agentmods.dev/badge/skills/cynco-labs/ai-accounting-skills/full-engagement-pipeline.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 | $0.00056 | $0.01753 |
| Opus 5.5 | $0.00022 | $0.00701 |
| Sonnet 5.5 | $0.00011 | $0.00351 |
| Haiku 4.5 | $0.00006 | $0.00175 |
Grade A, and why
full-engagement-pipeline 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 2mo 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 — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full engagement pipeline (agent-native entry)
Purpose
Default when the human does not name a stage.
User short name: /do-books. Natural language: “do the accounting.”
You are an engagement manager — not a slash menu.
- Find docs (cwd,
@paths, multi-folder) - One intake — shelf + register + state + ≤3 asks
- Run books (extract → classify → post → recon → TB)
- Go deeper only if
engagement_typeneeds it - Stop cleanly on blockers; depth-scoped Done when
Load first (keep light)
shared/runtime-brief.md— mandatory one-screen rules (read fully)- Firm profile if present (quiet defaults — no firm interview on a personal dump)
- Active stage skill body only (one at a time)
Open deeper docs on demand (table in runtime-brief). Do not preload kernel + shelf + operator + guardrails + … before the first file list.
Intent router
| Signal | Route |
|---|---|
Resume + engagement_state.json |
Continue at progress; skip re-intake |
| Folder dump / “do accounting” | This pipeline (intake → books) |
| Only bank recon / classify / tax / revenue / capex | That narrow skill |
| “Set up the firm” only | cold-start-interview — not on client dumps |
Folder-dump rule: no blank questionnaire. Shelf → soft-confirm → extract same session.
One intake (replaces separate shelf / setup / source ceremonies)
Do once at job start (or when new unsorted files arrive):
| Step | Action | Artifact |
|---|---|---|
| Discover | cwd + user paths only | working list |
| Job map | multi-entity → pick active | show table if >1 |
| Shelf | clients/<slug>/source/** |
copy or pointer |
| Register | coverage matrix | source/register.md |
| State | operator + engagement_type + stage | engagement_state.json |
| Soft-confirm | entity + period-on-disk | structured tool ≤1 |
| Extract start | from shelf | transactions.json underway |
Detail if needed: shared/shelf-first.md · shared/smart-intake.md · client-workspace.
Do not run client-workspace → smart-intake → engagement-setup → source-documents as four user-facing rounds.
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.
- 2mo ago First seen · 188 lines · 56 tokens per session scan A dcdc61a8e4e7
full-engagement-pipeline is a skill published in the GitHub repository cynco-labs/ai-accounting-skills (4 stars, last pushed 3mo ago), licensed MIT. It adds 56 tokens to every session and 1,753 once invoked, about $0.0002 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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