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 vlinx-io/VelaTerm --skill finding-discoverygit clone --depth 1 https://github.com/vlinx-io/VelaTermWrote 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/vlinx-io/velaterm/finding-discovery)<a href="https://agentmods.dev/skills/vlinx-io/velaterm/finding-discovery"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/finding-discovery/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/vlinx-io/velaterm/finding-discovery"><img src="https://agentmods.dev/badge/skills/vlinx-io/velaterm/finding-discovery.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 | $0.00058 | $0.04810 |
| Opus 5.5 | $0.00023 | $0.01924 |
| Sonnet 5.5 | $0.00012 | $0.00962 |
| Haiku 4.5 | $0.00006 | $0.00481 |
Grade A, and why
finding-discovery 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.
This is a copy
92% identical to finding-discovery — 37 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Finding Discovery
Objective
Investigate the proposed code or code changes for technically plausible security vulnerabilities using the threat model as context.
Standard and Deep discovery workers follow their self-contained coordinator prompts; they do not invoke this skill. For an explicit standalone repository-discovery request, apply the relevant checklist below directly to the authorized current source without running the diff-only workflow or starting another scan.
Artifact Resolution
The path references in this skill are the default locations for this phase.
If the user explicitly provides a different path for a required input or output, use the user-provided path instead of the corresponding default path referenced in this skill.
If a required input is still missing, stop and ask the user for it before continuing.
Use the shared scan artifact path conventions in ../../references/scan-artifacts.md.
SECURITY.md Guidance Gate
Read ../../references/security-guidance.md and resolve the applicable policy before inspecting each source file. A delegated file-review worker must do the same before reading its assigned source.
Compact Diff Workflow
When a running diff scan already supplies its file inventory through list_codex_security_review_items, review that inventory directly and record all candidates once with record_codex_security_discovery_candidates. Do not generate ranked worklists, per-finding ledgers, discovery receipts, or discovery reports. Skip the legacy workflow and artifact requirements below.
Code Diff Workflow
For a targeted code diff without an existing compact inventory:
- Read
../security-scan/references/scan-artifacts-and-ledger.md. - Generate
rank_input.jsonldeterministically from changed source-like files with<python_command> <plugin_dir>/scripts/generate_rank_input.py make-diff-rank-input --repo <repo_root> --base <base> --mode revisions --head <head> --out <discovery_dir>/rank_input.jsonlfor PR, commit, and branch diffs, or<python_command> <plugin_dir>/scripts/generate_rank_input.py make-diff-rank-input --repo <repo_root> --base <base> --mode local-patch --out <discovery_dir>/rank_input.jsonlfor a local patch. - Copy every diff row into
deep_review_input.jsonlwith<python_command> <plugin_dir>/scripts/generate_rank_input.py copy-deep-review-input --rank-input <discovery_dir>/rank_input.jsonl --out <discovery_dir>/deep_review_input.jsonl. Diff scans do not rank or drop changed files before deep review. - Add directly supporting files required to understand the changed security behavior only when repository evidence shows they are needed. Do not use them to broaden into unrelated repository-wide enumeration.
- Deep-review every file in
deep_review_input.jsonlusing the shared scoped file-review rules. - Stay anchored to the changed code and directly supporting files. Unchanged siblings are context or negative controls unless the diff newly reaches them, weakens their shared control, or changes a shared sink/helper they depend on.
- When the diff is too large to review credibly as one parent-agent pass, use file-review subagents when they are available under the resolved scan authorization and follow the shared scoped deep-review rules in
../security-scan/references/scan-artifacts-and-ledger.md#scoped-deep-review.
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.
- 1mo ago First seen · 158 lines · 58 tokens per session scan A 938b73329188
finding-discovery is a skill published in the GitHub repository vlinx-io/VelaTerm (301 stars, last pushed 2d ago), licensed MIT. It adds 58 tokens to every session and 4,810 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 92% identical to finding-discovery, differing in 37 lines, and is treated as a copy.
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