Borrowing it
Nothing to install: this file belongs to CorridorTech/PoseCap. 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/CorridorTech/PoseCap/main/.agents/skills/ad-level-up/SKILL.mdgit clone --depth 1 https://github.com/CorridorTech/PoseCapWrote 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/corridortech/posecap/ad-level-up)<a href="https://agentmods.dev/skills/corridortech/posecap/ad-level-up"><img src="https://agentmods.dev/badge/skills/corridortech/posecap/ad-level-up/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/corridortech/posecap/ad-level-up"><img src="https://agentmods.dev/badge/skills/corridortech/posecap/ad-level-up.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 4 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 71 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00264 | $0.02096 |
| Opus 5.5 | $0.00106 | $0.00838 |
| Sonnet 5.5 | $0.00053 | $0.00419 |
| Haiku 4.5 | $0.00026 | $0.00210 |
Grade A, and why
ad-level-up 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 2mo 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mechanical shape:
THIS SESSION:
1. State the candidate + its citation (or stop — not grounded).
2. Trace it to a root cause.
3. Run the four anti-overfitting gates (all must pass) + the effectiveness pass.
4. Place it deterministically; draft the minimal edit (do NOT write yet).
5. Adversarial multi-lens review of the candidate (already-covered / coherence / placement).
6. PRESENT the proposal + rationale. Apply ONLY on explicit approval, one item at a time.
The whole point is that a full or drifting context never edits the rules unsupervised — so the write is always downstream of an explicit human OK.
<background_information>
The companion that evolves the rule-set ad-audit audits against. Curation is a WRITE operation behind a human gate — distinct from the read-only ad-audit. The mechanism (four anti-overfitting gates, effectiveness pass, deterministic placement, adversarial multi-lens review, hard human gate) is ADR-0037; the rule-set locations are ADR-0035 (machine store) and ADR-0043 (project layer at .agentic/rules/, committed or machine-local via .git/info/exclude — a project rule shadows a conflicting machine-store rule, and the audit reports the shadowing). On Claude Code the multi-lens review fans out Task subagents; on Codex it runs inline with an optional user-initiated rule-candidate-reviewer escalation. The skill owns the terse rule-set only — bigger decisions route to ad-adr / ad-guidelines.
</background_information>
Running ad-level-up (Codex single-pass, human-gated). I will state the candidate + evidence, trace its root cause, run the four anti-overfitting gates + effectiveness pass, place it, draft the minimal edit, run an adversarial multi-lens review, then PRESENT a proposal. I will NOT write anything to the rule-set until you explicitly approve — one item at a time.
Step 1 — state candidate + evidence. One sentence + the citation (finding / PR / transcript / file:line, or the ad-audit handoff). If it cannot be cited, stop — not grounded.
Step 2 — trace to root cause. Attach the candidate to the upstream cause (investigation / grounding / verification gap), not the surface symptom.
Step 3 — four anti-overfitting gates. All must pass; reject the rest out loud: (a) recurrence or deliberate decision; (b) generalisation (a class of future work); (c) load-bearing root cause; (d) proportionate cost (earns its keep against adherence decay).
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.
- 2mo ago First seen · 83 lines · 264 tokens per session scan A e25898481648
ad-level-up is a skill published in the GitHub repository CorridorTech/PoseCap (265 stars, last pushed 3d ago), licensed Apache-2.0. It adds 264 tokens to every session and 2,096 once invoked, about $0.0011 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 2026-08-30.
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