AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill accounting-software-selectiongit clone --depth 1 https://github.com/sickn33/agentic-awesome-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/sickn33/agentic-awesome-skills/accounting-software-selection)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/accounting-software-selection"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accounting-software-selection/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/sickn33/agentic-awesome-skills/accounting-software-selection"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/accounting-software-selection.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 | $0.00037 | $0.06563 |
| Opus 5.5 | $0.00015 | $0.02625 |
| Sonnet 5.5 | $0.00007 | $0.01313 |
| Haiku 4.5 | $0.00004 | $0.00656 |
Grade A, and why
accounting-software-selection 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 15d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- accounting-software-selection — 100% identical, 0 lines differ
- accounting-software-selection — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 428 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accounting Software Selection
What it is: The evidence behind a software purchase, recorded so the decision is arguable - and the decision itself still belongs to the business.
Overview
Works out the smallest useful Accounting Software Selection setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.
For a Nepal trading, manufacturing or services business, this is the record that makes the purchase arguable: requirements ranked, a candidate shortlist, the same demo tests run against every candidate, the evidence behind every score, cost split so first-year and three-year totals can be compared, and the evaluation status, selection decision, rejection reason and deal-breaker flag kept as four separate fields instead of one opinion. It is an evaluation and decision-support tool, not a bookkeeping, tax-filing, legal or procurement system.
Four guardrails shape every row.
Nothing is invented, and nothing is asserted without a source. Never supply a vendor
capability, a price, a compliance status, a demo result or a stakeholder score that the
user or a named source did not give. What nobody has verified is Untested for a
capability and an empty cost cell with Unknown in Notes for a price. A capability
nobody has looked at is Untested; it is not 1 Missing, and a blank is never filled
with a plausible number so the row looks finished.
This skill never selects. It may summarise the evidence, name the requirements a
candidate fails, and state that a Must-have is failed. It must not declare a package the
best option, announce a winner, state a compliance conclusion or record an approval. The
business fills Selection Decision itself.
Fact and opinion stay apart. The thirty capability fields carry what the vendor
documented or demonstrated. The three Rating fields carry the named evaluator's own
judgement. A brochure claim is never copied into a Rating, and an evaluator's impression
is never written into a capability field. An average across evaluators is not objective
truth and a score never becomes a recommendation.
What ships with it
4 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.
- 15d ago First seen · 428 lines · 37 tokens per session scan A 810a49e75dde
accounting-software-selection is a skill published in the GitHub repository sickn33/agentic-awesome-skills (47,606 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 6,563 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 2026-09-30.
Other skills, from other repositories
accounting-software-selection
Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.
accounting-software-selection
Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.
accounting-audit-system-builder
Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files.
accounting-audit-system-builder
Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files.
360-feedback-system
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
access-matrix
Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.