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 agentmods add skills/tayontech/scope/scope-evidence-loggingnpx skills add tayontech/SCOPE --skill scope-evidence-logginggit clone --depth 1 https://github.com/tayontech/SCOPEWhat 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 | $0.00029 | $0.00477 |
| Opus 5 | $0.00015 | $0.00238 |
| Sonnet 5 | $0.00006 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
scope-evidence-logging scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 30 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SCOPE Evidence Logging
Use this skill inside scope-attack-analyze when populating evidence objects that must pass scope.attack.schema.
The valid evidence types: graph_edge, module_resource, policy_document, runtime_assumption, coverage_caveat.
Represent ARNs through the arn field, not as an evidence type. Every evidence object needs at least one of id, source_path, or arn.
Evidence Handles
- Use
graph_edgefor graph edge IDs from$RUN_DIR/graph.json. Put the stable edge ID inid, and includesource_pathwhen the graph edge cites a module file. - Use
module_resourcefor module files/resources under$RUN_DIR/modules/**. Put the module-relative file path insource_path, the resource identifier inidwhen available, and the resource ARN inarnwhen present. - Use
policy_documentfor IAM, trust, permission boundary, and resource policy documents stored in runtime artifacts. Put a stable policy, statement, or resource handle inid; includesource_pathandfieldwhen the document came from a module resource field. - Use
runtime_assumptiononly when the path depends on behavior the run artifacts cannot prove, such as attacker control of a federated subject or an event payload. Put a stable assumption handle inidor cite the relatedarn. - Use
coverage_caveatwhen module status, coverage check, or field status leaves part of a hop unknown. Cite the module file withsource_path; includefieldfor the specific coverage or resource field status when known.
Rules
- No placeholders.
- No nonexistent file paths.
- Do not invent IDs from files the run did not produce.
- Do not use
arnas an evidence type. - Prefer graph edge
idplus modulesource_pathwhen a graph relationship supports a hop. - Cite the smallest useful handle: edge ID for relationships, module resource for resource facts, policy document for policy statements, runtime assumption for unobserved behavior, coverage caveat for known collection gaps.
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.
- 2d ago First seen · 30 lines · 29 tokens per session scan A 5460c415822b
scope-evidence-logging is a skill published in the GitHub repository tayontech/SCOPE (54 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 477 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 2026-08-30.
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