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 anombyte93/prd-taskmaster --skill discovergit clone --depth 1 https://github.com/anombyte93/prd-taskmasterWrote 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/anombyte93/prd-taskmaster/discover)<a href="https://agentmods.dev/skills/anombyte93/prd-taskmaster/discover"><img src="https://agentmods.dev/badge/skills/anombyte93/prd-taskmaster/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/anombyte93/prd-taskmaster/discover"><img src="https://agentmods.dev/badge/skills/anombyte93/prd-taskmaster/discover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Excessive Agency · line 48 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 | $0.00092 | $0.02237 |
| Opus 5.5 | $0.00037 | $0.00895 |
| Sonnet 5.5 | $0.00018 | $0.00447 |
| Haiku 4.5 | $0.00009 | $0.00224 |
Grade A, and why
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 1mo 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 — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Phase 1: Discover
Declarative phase skill. Invoked by the prd-taskmaster orchestrator when
current_phase is DISCOVER. Never called directly by a user.
The one rule: invoke superpowers:brainstorming for discovery, intercept
before it chains to writing-plans — we control the exit, not the brainstorm
skill.
Entry gate
-
Call
mcp__plugin_prd_go__check_gate(phase="DISCOVER", evidence={})for diagnostics.check_gateis an EXIT gate: it verifies the evidence to advance, not to enter. On first DISCOVER entry you have no evidence yet (the User Approval / Self-Approval Gate below producesuser_approved=trueORauto_classification=CLEAR with assumptions_documented), so agate_passed: falsehere is EXPECTED — the state machine's legal transitions already guarantee only legal entry.- First entry (no evidence yet): note the result and continue with the Procedure.
- Re-entry: if the gate reports violations, report them and stop — it protects against re-running a completed phase or skipping ahead from SETUP.
-
Detect execution context. If any of the following signals are present, switch to Autonomous Mode:
.claude/ralph-loop.local.mdexists in the project root- An
auto-enter/auto-approvedaemon is running against this session - The skill was invoked with an explicit
--autonomousflag - Parent orchestrator is a cron,
/pentest-wtf, or/ralph-loopOtherwise proceed in Interactive Mode (default).
Discovery checklist
Copy into your response before running the procedure:
DISCOVERY CHECKLIST:
- [ ] Mode detected (Interactive vs Autonomous)
- [ ] Goal captured from skill args or soul purpose
- [ ] Adaptive questions completed (one at a time)
- [ ] Constraints extracted and listed
- [ ] Scale classified (Solo / Team / Enterprise)
- [ ] Discovery summary captured for GENERATE phase
- [ ] User approved (Interactive) or summary committed (Autonomous)
Interactive Mode (default — user present)
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.
- 1mo ago First seen · 217 lines · 92 tokens per session scan A 125666b9e853
discover is a skill published in the GitHub repository anombyte93/prd-taskmaster (606 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 2,237 once invoked, about $0.0004 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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