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-knowledge-updatenpx skills add tayontech/SCOPE --skill scope-knowledge-updategit 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 | $0.00036 | $0.00867 |
| Opus 5 | $0.00018 | $0.00434 |
| Sonnet 5 | $0.00007 | $0.00173 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
scope-knowledge-update 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SCOPE Knowledge Update
Use this skill after a top-level agent has evidence-backed results and the operator-approved workflow allows persistence.
Subagents may propose knowledge_updates[], but only the top-level orchestrator applies updates through this skill.
Inputs
The caller provides:
ACCOUNT_IDAGENT:scope-audit,scope-controls,scope-exploit, orscope-investigateRUN_DIRor evidence file path when available- Final disposition or outcome
- Evidence-backed candidate updates
Files To Update
Create Markdown files from the templates in knowledge/ when missing.
knowledge/environment.md: operator-supplied stable environment facts onlyknowledge/observations.md: durable lessons, baselines, false positives, known-good patterns, automation notes, deployed-control notes, and org-wide patternsknowledge/coverage-gaps.md: telemetry gaps and AWS audit, enumeration, or authorization gapsknowledge/exploit-reasoning-notes.md: operator-reviewed expert reasoning note improvements for exploit analysisknowledge/hunt-reasoning-notes.md: operator-reviewed expert reasoning note improvements for investigations and hunts
There are no persistent investigation or research records under durable knowledge. Keep run-specific investigation and research artifacts under the run directory only.
Update Status Values
Every durable update must use one of:
confirmedlikely_normalsuspiciousfalse_positivecoverage_gapneeds_review
Safety Rules
- Do not write secrets, access keys, session tokens, passwords, raw credential material, or private keys.
- Do not write ARNs, account IDs, bucket names, role names, key IDs, or access key IDs. Resource identifiers are session-scoped.
- Do not write unsupported claims.
- Do not write run-specific noise unless it will help future investigations.
- Do not promote a pattern to org-wide unless at least two distinct account sections support it.
- Do not overwrite existing knowledge. Append or merge.
- Dedupe before appending.
- Every update must cite evidence: run directory, report path, query ID, event ID, finding ID, or analyst-approved note.
- Generalize resource-specific evidence before persistence. Use service names, control categories, event patterns, and behavior classes instead of exact identifiers.
- Before writing, scan candidate entries for exact identifier patterns:
arn:aws:, 12-digit account IDs, access key IDs, key IDs, role names, user names, bucket names, and secret names. Redact or generalize the value. If the value cannot be generalized without losing meaning, skip it and report the skip reason. - Evidence citations may point to run directories, reports, query IDs, event IDs, or finding IDs. Do not copy raw resource identifiers into the durable knowledge entry.
- Use dates in
YYYY-MM-DDformat.
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 · 89 lines · 36 tokens per session scan A 527ef6811a3c
scope-knowledge-update is a skill published in the GitHub repository tayontech/SCOPE (54 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 867 once invoked, about $0.0002 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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