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/understudy-ai/understudy/collect-target-contextnpx skills add understudy-ai/understudy --skill collect-target-contextgit clone --depth 1 https://github.com/understudy-ai/understudyWhat 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 | $0.00014 | $0.00211 |
| Opus 5 | $0.00007 | $0.00105 |
| Sonnet 5 | $0.00003 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
collect-target-context 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.
What it actually says
collect-target-context
Overall Goal
Collect the baseline target metadata and first-pass context notes for the selected target.
Inputs
- targetName
- artifactsRootDir
Outputs
- target.json
- context.md
Staged Workflow
- Normalize the target name and artifacts root path.
- Gather stable baseline facts for the target bundle.
- Write
target.jsonandcontext.md.
Tool Route Options
- shell for writing deterministic output files
- gui when baseline facts must be grounded from the visible target surface
Detailed GUI Replay Hints
- Prefer surface-local capture whenever the target is visible in a bounded window.
- Quote visible labels if the operator needs to re-run the capture manually.
Failure Policy
- Stop if no target name is available.
- Preserve partial context output rather than overwriting it with empty data.
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 · 45 lines · 14 tokens per session scan A ef0915f250b3
collect-target-context is a skill published in the GitHub repository understudy-ai/understudy (456 stars, last pushed 2mo ago), licensed MIT. It adds 14 tokens to every session and 211 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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