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 tikalk/adlc-team-skills --skill team-discovergit clone --depth 1 https://github.com/tikalk/adlc-team-skillsWrote 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/tikalk/adlc-team-skills/team-discover)<a href="https://agentmods.dev/skills/tikalk/adlc-team-skills/team-discover"><img src="https://agentmods.dev/badge/skills/tikalk/adlc-team-skills/team-discover/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/tikalk/adlc-team-skills/team-discover"><img src="https://agentmods.dev/badge/skills/tikalk/adlc-team-skills/team-discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.00452 |
| Opus 5 | $0.00020 | $0.00226 |
| Sonnet 5 | $0.00008 | $0.00090 |
| Haiku 4.5 | $0.00004 | $0.00045 |
Grade A, and why
team-discover 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 12d 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
team-discover
Overview
The CDR index is injected into the system prompt at session start by team-boot. The LLM natively matches CDR descriptors against the current task and reads full module bodies on demand. This native matching happens per prompt without invoking this skill.
Use /team-discover when you want a structured discovery table with
explicit relevance assessments — for example, when starting a complex
feature or verifying which directives apply.
Relationship to team-boot
team-boot is the session bootstrap: it injects the CDR index into the
system prompt via the session_start event hook. Per-prompt discovery
matching is native — the LLM matches the injected CDR index against the
current message on its own, so team-boot does not invoke this skill
as part of its bootstrap loop.
/team-discover is user-invoked: run it when you want an explicit,
structured re-scan with a relevance-rated table (complex features, audits, or
verifying which directives apply). It is not required for normal operation.
Process
- Extract domain, technology, patterns, and actions from the task.
- Scan the CDR index for matching entries.
- Assess relevance: High / Medium / Low.
- Read full module bodies for High-relevance entries.
- Output:
| ID | Module | Type | Descriptor | Relevance |
|---|---|---|---|---|
| CDR-2026-003 | context_modules/personas/admin.md | Persona | Admin persona | High |
- Include PDR/ADR/ChDR matches from project indexes if relevant.
- Include:
_Searched N CDR entries, M PDR entries, K ADR entries, C ChDR entries, J matches found._
Unconfigured projects
If team AI directives are not configured, invoke team-setup.
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.
- 12d ago First seen · 49 lines · 41 tokens per session scan A f0bd247fe84a
team-discover is a skill published in the GitHub repository tikalk/adlc-team-skills (133 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 452 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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