Borrowing it
Nothing to install: this file belongs to Gargeya-Grey/TwinAatma. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Gargeya-Grey/TwinAatma/main/.agents/skills/verify-twinaatma/SKILL.mdgit clone --depth 1 https://github.com/Gargeya-Grey/TwinAatmaWrote 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/gargeya-grey/twinaatma/verify-twinaatma)<a href="https://agentmods.dev/skills/gargeya-grey/twinaatma/verify-twinaatma"><img src="https://agentmods.dev/badge/skills/gargeya-grey/twinaatma/verify-twinaatma/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/gargeya-grey/twinaatma/verify-twinaatma"><img src="https://agentmods.dev/badge/skills/gargeya-grey/twinaatma/verify-twinaatma.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 | $0.00048 | $0.02712 |
| Opus 5.5 | $0.00019 | $0.01085 |
| Sonnet 5.5 | $0.00010 | $0.00542 |
| Haiku 4.5 | $0.00005 | $0.00271 |
Grade A, and why
verify-twinaatma 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Verify TwinAatma
Prove the promise in AGENTS.md: after one successful setup, the person receives grounded help without operating memory infrastructure. Preserve the human-only identity boundary.
Read the feature index first. For a readiness review or backwards plan, also read the ideal-system contract. Consult the dated assessment for original gaps and the repair status for subsequent changes, then recheck the current code. An old observation is not a current verdict.
Choose the proof
- A focused change needs its mapped journey and relevant existing regression checks.
- A product-readiness claim needs every mandatory ideal gate, including real host chats and independent human approval evidence.
- A source smoke result proves source CLI and MCP behavior in synthetic vaults. Keep installed artifacts, host integration, answer quality, and human consent as separate verdicts.
- A missing future capability is an unmet acceptance gate. Preserve its expected outcome rather than weakening the journey to match today's implementation.
Launch
From the repository root, use Python 3.11 or newer for the source driver:
python -B .agents/skills/verify-twinaatma/scripts/verify.py --journey core --output work/gc-artifacts/.knowledgeos/verify-twinaatma
The driver creates a unique run directory, initializes a fresh vault through the CLI, and requires a usable Self file, successful post-init checks, and a passing doctor. It launches the real python -P -m knowledgeos mcp --vault <fixture> --framing ndjson process. The driver supplies the explicit checkout import path, isolated gate state, and explicit fixture vault. It does not install or prove an installed distribution.
Every output path must contain a .knowledgeos directory beneath work/gc-artifacts. The root note census skips that component, keeping synthetic identities out of working memory. The driver refuses an uncontained output path.
What ships with it
55 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.
- features/identity-consent.md 3.5 KB
- features/learning-outcomes.md 6.9 KB
- features/memory-recall.md 4.5 KB
- features/privacy-data.md 8.0 KB
- features/README.md 3.5 KB
- features/sessions-recovery.md 4.1 KB
- features/setup-portability.md 4.7 KB
- references/acceptance-rubric.json 17 KB
- references/acceptance-scoring.md 12 KB
- references/current-assessment.md 12 KB
- references/data-preservation.md 5.8 KB
- references/ideal-system.md 12 KB
- references/installed-native-move.md 3.6 KB
- references/installed-packages.md 5.4 KB
- references/repair-status.md 6.6 KB
- references/runtime-hooks.md 3.4 KB
- references/source-graph-recovery.md 3.0 KB
- references/source-identity-quality.md 2.8 KB
- references/source-identity-writers.md 2.3 KB
- references/source-learning.md 2.5 KB
- references/source-longitudinal.md 3.0 KB
- references/source-privacy.md 7.0 KB
- scripts/acceptance.py 207 KB runs code
- scripts/advanced_host_acceptance.py 51 KB runs code
- scripts/advanced_host_native.py 33 KB runs code
- scripts/artifact.py 21 KB runs code
- scripts/build.py 3.7 KB runs code
- scripts/case-plan.json 1.8 KB
- scripts/data_preservation.py 20 KB runs code
- scripts/generated_writers.py 13 KB runs code
- scripts/grade_installed_move.py 24 KB runs code
- scripts/graph.py 25 KB runs code
- scripts/host.py 30 KB runs code
- scripts/identity_writers_grade.py 57 KB runs code
- scripts/identity_writers.py 24 KB runs code
- scripts/identity.py 27 KB runs code
- scripts/installed_host.py 9.6 KB runs code
- scripts/installed_move.py 30 KB runs code
- scripts/learning.py 25 KB runs code
- scripts/longitudinal_adapter.py 51 KB runs code
- scripts/longitudinal.py 22 KB runs code
- scripts/maintenance.py 36 KB runs code
- scripts/memory_census.py 10 KB runs code
- scripts/native_grader_rendezvous.py 9.4 KB runs code
- scripts/native_process.py 9.2 KB runs code
- scripts/physical_observer.py 4.2 KB runs code
- scripts/privacy_adapter.py 51 KB runs code
- scripts/privacy.py 54 KB runs code
- scripts/quality.py 28 KB runs code
- scripts/recovery.py 39 KB runs code
- scripts/runtime_hooks.py 25 KB runs code
- scripts/test_identity_writers_grade.py 18 KB runs code
- scripts/verify.py 24 KB runs code
- scripts/writer_census.py 14 KB runs code
- scripts/writer_contract.py 15 KB runs code
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 · 189 lines · 48 tokens per session scan A ff28c0d66c22
verify-twinaatma is a skill published in the GitHub repository Gargeya-Grey/TwinAatma (4 stars, last pushed 12d ago), licensed MIT. It adds 48 tokens to every session and 2,712 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 2026-10-21.
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