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 frenzymath/Danus --skill identify-key-failuresgit clone --depth 1 https://github.com/frenzymath/DanusWrote 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/frenzymath/danus/identify-key-failures)<a href="https://agentmods.dev/skills/frenzymath/danus/identify-key-failures"><img src="https://agentmods.dev/badge/skills/frenzymath/danus/identify-key-failures.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00510 |
| Opus 5 | $0.00020 | $0.00255 |
| Sonnet 5 | $0.00008 | $0.00102 |
| Haiku 4.5 | $0.00004 | $0.00051 |
Grade A, and why
identify-key-failures 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 7d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Identify Key Failures
Use this skill to turn many failed attempts into reusable guidance for the next planning round.
Input Contract
Read:
- the failed decomposition plans
- direct-proving stuck points
- existing
failed_paths - relevant
counterexamplesandtoy_examples
Procedure
- Gather the reports from all failed plans. If only direct proving has run so far, work directly from the direct-proving failures.
- List the key stuck points for each plan.
- Identify common points across those failures:
- recurring obstructions or counterexamples
- decomposition patterns that keep breaking
- search gaps or missing background facts
- Summarize what the failures suggest for the next generation of decomposition plans.
- When all current decomposition plans have failed and no pattern is leading anywhere, publish the synthesized
dead_end(below): the main agent reasons or launches exploratory subagents, then delivers a fresh direction asmaster_guidance. - Save the synthesized failure knowledge to
failed_pathsso later planning skills can use it. - After recording the failure synthesis, return control to
$propose-subgoal-decomposition-plans.
Output Contract
Publish the failure synthesis to global memory with gm_add (kind dead_end):
claim = the common stuck points, evidence = the per-plan failures, so siblings
skip these paths. Carry these fields:
{
"record_type": "key_failures_summary",
"failed_plan_ids": ["..."],
"plan_failures": [
{
"plan_id": "...",
"stuck_points": ["..."]
}
],
"common_failures": ["..."],
"implications_for_next_plans": ["..."]
}
Also note in your local memory (events) that a new planning round is needed.
Tools
gm_add(publish the dead_end synthesis)gm_search(gather the failed plans and stuck points across the swarm)
Failure Logging
If the reports are too weak to identify meaningful common failures, note in local memory (events) event_type="key_failures_inconclusive" and state what information is still missing.
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.
- 7d ago First seen · 63 lines · 41 tokens per session scan A d0415be93a8e
identify-key-failures is a skill published in the GitHub repository frenzymath/Danus (403 stars, last pushed 10d ago), licensed Apache-2.0. It adds 41 tokens to every session and 510 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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