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 OpenLAIR/OpenSkill --skill evo-output-serializationgit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-output-serialization)<a href="https://agentmods.dev/skills/openlair/openskill/evo-output-serialization"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-output-serialization/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/openlair/openskill/evo-output-serialization"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-output-serialization.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 | $0.00034 | $0.00381 |
| Opus 5.5 | $0.00014 | $0.00152 |
| Sonnet 5.5 | $0.00007 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
evo-output-serialization 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 1mo 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
evo-output-serialization
Serializes analysis results to the required output formats.
Key Functions
dense_to_csr_manual(dense_mask)— Converts 2D bool array to CSR (data, indices, indptr)save_csr_masks_npz(mask_list, output_file, shape)— Saves masks to NPZ with CSR formatexport_motion_labels_json(motion_results, output_path)— Saves motion labels to JSON
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-output-serialization/scripts')
from utils import save_csr_masks_npz, export_motion_labels_json
# motion_results: list of (sample_idx_prev, sample_idx_curr, labels_list)
export_motion_labels_json(motion_results, '/root/pred_instructions.json')
# mask_list: list of boolean 2D arrays, shape: [H, W]
save_csr_masks_npz(mask_list, '/root/pred_dyn_masks.npz', shape=[H, W])
CSR Format Details
For each frame i, stores:
f_{i}_data: bool array of True valuesf_{i}_indices: int32 column indices of nonzero elementsf_{i}_indptr: int32 array of length H+1 (row pointers)shape: [H, W] as int32 array
JSON Format
{
"0->1": ["Pan Right"],
"1->2": ["Stay"],
...
}
Keys are "sample_idx_prev->sample_idx_curr" (0-based sample indices).
What ships with it
1 file 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.
- 1mo ago First seen · 48 lines · 34 tokens per session scan A 134f08b59c21
evo-output-serialization is a skill published in the GitHub repository OpenLAIR/OpenSkill (97 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 381 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 2026-09-11.
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