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 autohandai/community-skills --skill atlas-toolkit-discoverygit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/atlas-toolkit-discovery)<a href="https://agentmods.dev/skills/autohandai/community-skills/atlas-toolkit-discovery"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/atlas-toolkit-discovery/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/autohandai/community-skills/atlas-toolkit-discovery"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/atlas-toolkit-discovery.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 | $0.00023 | $0.00369 |
| Opus 5 | $0.00012 | $0.00185 |
| Sonnet 5 | $0.00005 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
atlas-toolkit-discovery 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 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.
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.
What it actually says
ATLAS Toolkit Discovery
Overview
Use this skill during the discovery phase of COBOL modernization, before conversion work begins. The upstream repository, Vivantro/atlas-toolkit-discovery, is a sample skill for COBOL legacy inventory and go/no-go classification.
Compatibility: COBOL, legacy inventory, and modernization readiness assessment.
Workflow
- Collect source inventory: COBOL programs, copybooks, JCL, control cards, data definitions, test assets, and deployment notes.
- Build a dependency index covering calls, copybook inclusion, file usage, database access, schedules, and external systems.
- Score readiness by complexity, missing assets, test coverage, business criticality, operational risk, and SME availability.
- Classify each application or component as go, conditional go, defer, or no-go for modernization.
- Recommend the next step: deeper reverse engineering, wrapper strategy, data remediation, test-data recovery, or migration execution.
Guardrails
- Do not start conversion until discovery has identified required copybooks, sample data, and integration dependencies.
- Keep readiness scoring evidence-based and include confidence levels.
- Separate technical complexity from business priority so decision makers can trade risk against value explicitly.
- Preserve unknowns as named risks rather than filling gaps with assumptions.
Expected Output
Produce an inventory table, dependency summary, readiness classification, risk register, and recommended modernization sequence.
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 First seen · 37 lines · 23 tokens per session scan A f1b90755cfc5
atlas-toolkit-discovery is a skill published in the GitHub repository autohandai/community-skills (11 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 369 once invoked, about $0.0001 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 2026-09-03.
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