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 ychampion/cskill-agents --skill turn-scoped-skill-discovery-resetgit clone --depth 1 https://github.com/ychampion/cskill-agentsWrote 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/ychampion/cskill-agents/turn-scoped-skill-discovery-reset)<a href="https://agentmods.dev/skills/ychampion/cskill-agents/turn-scoped-skill-discovery-reset"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/turn-scoped-skill-discovery-reset/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/ychampion/cskill-agents/turn-scoped-skill-discovery-reset"><img src="https://agentmods.dev/badge/skills/ychampion/cskill-agents/turn-scoped-skill-discovery-reset.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 | $0.00032 | $0.00427 |
| Opus 5 | $0.00016 | $0.00214 |
| Sonnet 5 | $0.00006 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
turn-scoped-skill-discovery-reset 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 9d 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
SKILL: Turn Scoped Skill Discovery Reset
Domain: command-surfaces
Trigger: Use when the conversation engine needs to clear the list of discovered skills at the start of each new turn so repeated invocations stay accurate.
Source Pattern: Distilled from reviewed command-surface and listing-control patterns.
Core Method
Tie skill discovery tracking to the turn boundary: clear discoveredSkillNames right before each submitMessage turn, and feed the cleared set into ask() so the next turn can rediscover only what emerges afresh despite previously cached suggestions. Persist the cleared set long enough for telemetry but don’t let it grow across turns, ensuring each new user turn begins with an empty discovery set.
Key Rules
- Maintain a Set of discovered skill names per turn inside QueryEngine, clearing it at the earliest point the new turn begins.
- When a skill is rerun via a forked agent, note that separately but do not carry it over to the global set; the turn-level set should reset regardless of agent-internal events.
- Emit telemetry about the cleared set proactively so analytics can compare discovery counts; do not reuse the old set except for logging.
- Keep the discovery reset outside of compaction retries so the next turn still respects the trimmed context.
Example Application
In a long-running Claude Code session, apply this skill when you implement a subagent and need the parent conversation to treat each user message as if it's discovering skills anew, avoiding stale recommendations or double-counted discovery telemetry.
Anti-Patterns (What NOT to do)
- Do not let
discoveredSkillNamesaccumulate over turns; that dilutes new discovery signals and leads to misleading telemetry. - Do not clear the set mid-turn; it must stay stable until the next
submitMessagecall ends so the current turn can honor discovery gating.
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.
- 9d ago First seen · 28 lines · 32 tokens per session scan A 17d0ca63da58
turn-scoped-skill-discovery-reset is a skill published in the GitHub repository ychampion/cskill-agents (36 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 427 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 2026-09-03.
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