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 panaversity/agentfactory-business-plugins --skill ifrs9-disclosuregit clone --depth 1 https://github.com/panaversity/agentfactory-business-pluginsWrote 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/panaversity/agentfactory-business-plugins/ifrs9-disclosure)<a href="https://agentmods.dev/skills/panaversity/agentfactory-business-plugins/ifrs9-disclosure"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/ifrs9-disclosure/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/panaversity/agentfactory-business-plugins/ifrs9-disclosure"><img src="https://agentmods.dev/badge/skills/panaversity/agentfactory-business-plugins/ifrs9-disclosure.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 | $0.00092 | $0.02249 |
| Opus 5 | $0.00046 | $0.01125 |
| Sonnet 5 | $0.00018 | $0.00450 |
| Haiku 4.5 | $0.00009 | $0.00225 |
Grade A, and why
ifrs9-disclosure 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 12d 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.
IFRS 7 ECL DISCLOSURE REQUIREMENTS — COMPLETE LIST
Qualitative Disclosures (always required)
- SICR assessment methodology — quantitative and qualitative criteria used
- Definition of default — the bank's specific definition and why it was chosen
- Write-off policy — when exposures are derecognised (written off)
- Macroeconomic scenario descriptions — narrative for each scenario
- ECL model methodology — overview for each major portfolio segment
- PMA rationale — types and reasons for post-model adjustments
Quantitative Disclosures (always required)
- Stage distribution table — gross carrying amount and ECL by stage, by product
- Stage migration table — movements during the period with ECL impact
- Credit quality table — gross carrying amounts by internal credit grade
- Macroeconomic variables — key variables and their values in each scenario
- Scenario weights — probability assigned to each scenario
- Sensitivity analysis — ECL under each scenario individually (IFRS 7.35G)
- PMA amounts — aggregate PMA by direction (add/release) with rationale
- Modified financial assets — amounts restructured, conditions, Stage post-modification
- Collateral — types held, LTV distributions for mortgage portfolios
- Concentration risk — geographic and industry concentrations
For Stage 3 Specifically
- Gross carrying amount vs. ECL provision by product (coverage ratio)
- Write-offs during the period
- Recoveries on previously written-off amounts
TEMPLATE: STAGE DISTRIBUTION TABLE
| Stage 1 | Stage 2 | Stage 3 | Total | |
|---|---|---|---|---|
| Gross carrying amount (M) | ||||
| ECL provision (M) | ||||
| Net carrying amount (M) | ||||
| ECL coverage ratio % | ||||
| Number of facilities |
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.
- 12d ago First seen · 188 lines · 92 tokens per session scan A 15bb533793c5
ifrs9-disclosure is a skill published in the GitHub repository panaversity/agentfactory-business-plugins (29 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 92 tokens to every session and 2,249 once invoked, about $0.0005 per session on Opus 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 2026-08-30.
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