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 glassity/agent-skills --skill opp-showgit clone --depth 1 https://github.com/glassity/agent-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/glassity/agent-skills/opp-show)<a href="https://agentmods.dev/skills/glassity/agent-skills/opp-show"><img src="https://agentmods.dev/badge/skills/glassity/agent-skills/opp-show/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/glassity/agent-skills/opp-show"><img src="https://agentmods.dev/badge/skills/glassity/agent-skills/opp-show.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 | $0.00069 | $0.00482 |
| Opus 5 | $0.00034 | $0.00241 |
| Sonnet 5 | $0.00014 | $0.00096 |
| Haiku 4.5 | $0.00007 | $0.00048 |
Grade A, and why
opp-show 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
Opportunity detail
When to use
- The user references a specific opportunity by id (
opportunity_abc123) - The user asks why an opportunity was flagged, or what the savings cover
- Triage flows: list with
opp-list, then drill into one
For an assignment id rather than an opportunity id, use
glassity opp show-assignment — opp show resolves opportunity ids only.
Binary check
Run command -v glassity before the first CLI call. If it is missing, stop and
tell the user to install it with brew install glassity/tap/glassity or from
https://github.com/glassity/cli/releases. No account yet? Sign up at
app.glassity.cloud.
Invocation
glassity --output=json opp show <opportunity-prefix-id> [--show-prompt]
Response
prefix_id, title, description, state,
total_potential_savings_per_month (USD/month),
number_of_discovered_resources, created_at,
opportunity_type_identifier, current_stage, stage_guidance, and
assignments[] with {prefix_id, state, service_name}.
current_stage is nullable. A null value is not an error: it means the
opportunity's pipeline stage has no active lifecycle cell right now — for
example while the work is happening inside its assignments.
Always surface
- The active tenant + AWS account, which the CLI prints on stderr
stateandcurrent_stage— these decide what can happen next- The
assignments[].prefix_idvalues, which every assignment-level mutation takes as its argument
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 · 49 lines · 69 tokens per session scan A f96dd6787f63
opp-show is a skill published in the GitHub repository glassity/agent-skills (2 stars, last pushed 27d ago), licensed Apache-2.0. It adds 69 tokens to every session and 482 once invoked, about $0.0003 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 2026-08-31.
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