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 Varnan-Tech/opendirectory --skill gh-issue-to-demand-signalgit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/gh-issue-to-demand-signal)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/gh-issue-to-demand-signal"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/gh-issue-to-demand-signal/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/varnan-tech/opendirectory/gh-issue-to-demand-signal"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/gh-issue-to-demand-signal.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
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 →
- high Privilege Escalation · line 112 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Tool Misuse · line 635 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Excessive Agency · line 26 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.
- medium Data Exfiltration · line 100 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00154 | $0.06038 |
| Opus 5 | $0.00077 | $0.03019 |
| Sonnet 5 | $0.00031 | $0.01208 |
| Haiku 4.5 | $0.00015 | $0.00604 |
Grade A, and why
gh-issue-to-demand-signal scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
import json, urllib.request, os, sys How it starts
The opening of the file, as written. The whole thing — 639 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Issue Demand Signal
Take a competitor's public GitHub repo. Fetch their open issues. Filter noise locally. Cluster into 6 demand categories. Score by real engagement. Output a ranked demand gap report and GTM messaging brief.
Critical rule: Every issue title in the output must be verbatim from the GitHub API response. Every cluster theme name must be derived from actual issue titles in that cluster. If fewer than 10 issues remain after noise filtering, stop and tell the user -- the repo is too small for reliable clustering. No invented issue content anywhere.
Common Mistakes
| The agent will want to... | Why that's wrong |
|---|---|
| Send all 200 raw issues to the AI without filtering | Bot issues, PRs, and zero-engagement noise inflate cluster counts and waste context. Filter locally first. |
| Use comment count as the primary demand signal | Comments include maintainer responses, off-topic discussion, and spam. reactions["+1"] is the cleanest buyer signal. |
| Paraphrase issue titles when summarizing clusters | Paraphrasing loses the buyer's exact language, which is the entire point. Use verbatim issue titles. |
| Continue past Step 4 if fewer than 10 issues remain after filtering | Under 10 issues means the repo is too small or the wrong URL was given. Clustering on sparse data produces meaningless categories. |
| Include pull requests in the analysis | The GitHub Issues endpoint returns PRs too. Filter by checking that the pull_request key is absent on the issue object. |
| Mark an issue as ignored demand without checking all 3 criteria | All three must be true: reactions >= 10, age >= 180 days, no planned/in-progress/roadmap label. Missing one criterion disqualifies the issue. |
Step 1: Setup Check
echo "GITHUB_TOKEN: ${GITHUB_TOKEN:-not set, unauthenticated rate limit applies (60 req/hr)}"
If GITHUB_TOKEN is not set: Continue. Tell the user: "GITHUB_TOKEN is not set. Unauthenticated rate limit is 60 requests/hour -- enough for 2 fetches before hitting the limit. For repeated use, add a token at github.com/settings/tokens (no scopes needed for public repos)."
What ships with it
5 files 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.
- 12d ago First seen · 639 lines · 154 tokens per session scan A 66822041ae8c
gh-issue-to-demand-signal is a skill published in the GitHub repository Varnan-Tech/opendirectory (639 stars, last pushed 26d ago), licensed MIT. It adds 154 tokens to every session and 6,038 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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